subject:(Text Mining)

University of Georgia

1. Tarkhadkar, Sagar Santosh. Mutaimpact miner: a gene-mutation impact extractor and curator for biomedical literature.

Degree: MS, Computer Science, 2013, University of Georgia

URL: http://purl.galileo.usg.edu/uga_etd/tarkhadkar_sagar_s_201312_ms

► Manual curation of knowledge from biomedical literature is both expensive and time consuming. Scientific publications in biomedicine have an enormous amount of valuable information on… (more)

Subjects/Keywords: text mining

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APA (6^th Edition):

Tarkhadkar, S. S. (2013). Mutaimpact miner: a gene-mutation impact extractor and curator for biomedical literature. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/tarkhadkar_sagar_s_201312_ms

Chicago Manual of Style (16^th Edition):

Tarkhadkar, Sagar Santosh. “Mutaimpact miner: a gene-mutation impact extractor and curator for biomedical literature.” 2013. Masters Thesis, University of Georgia. Accessed February 26, 2020. http://purl.galileo.usg.edu/uga_etd/tarkhadkar_sagar_s_201312_ms.

MLA Handbook (7^th Edition):

Tarkhadkar, Sagar Santosh. “Mutaimpact miner: a gene-mutation impact extractor and curator for biomedical literature.” 2013. Web. 26 Feb 2020.

Vancouver:

Tarkhadkar SS. Mutaimpact miner: a gene-mutation impact extractor and curator for biomedical literature. [Internet] [Masters thesis]. University of Georgia; 2013. [cited 2020 Feb 26]. Available from: http://purl.galileo.usg.edu/uga_etd/tarkhadkar_sagar_s_201312_ms.

Council of Science Editors:

Tarkhadkar SS. Mutaimpact miner: a gene-mutation impact extractor and curator for biomedical literature. [Masters Thesis]. University of Georgia; 2013. Available from: http://purl.galileo.usg.edu/uga_etd/tarkhadkar_sagar_s_201312_ms

University of Georgia

2. Martin, Justin Randall. Prokinopub: a semantic search engine for protein kinase publications.

Degree: MS, Computer Science, 2011, University of Georgia

URL: http://purl.galileo.usg.edu/uga_etd/martin_justin_r_201108_ms

► Searching through scientific articles for relevant information has proven to be a difficult and time-consuming task for researchers. Many improvements to the traditional, keyword-based search… (more)

Subjects/Keywords: text mining

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APA (6^th Edition):

Martin, J. R. (2011). Prokinopub: a semantic search engine for protein kinase publications. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/martin_justin_r_201108_ms

Chicago Manual of Style (16^th Edition):

Martin, Justin Randall. “Prokinopub: a semantic search engine for protein kinase publications.” 2011. Masters Thesis, University of Georgia. Accessed February 26, 2020. http://purl.galileo.usg.edu/uga_etd/martin_justin_r_201108_ms.

MLA Handbook (7^th Edition):

Martin, Justin Randall. “Prokinopub: a semantic search engine for protein kinase publications.” 2011. Web. 26 Feb 2020.

Vancouver:

Martin JR. Prokinopub: a semantic search engine for protein kinase publications. [Internet] [Masters thesis]. University of Georgia; 2011. [cited 2020 Feb 26]. Available from: http://purl.galileo.usg.edu/uga_etd/martin_justin_r_201108_ms.

Council of Science Editors:

Martin JR. Prokinopub: a semantic search engine for protein kinase publications. [Masters Thesis]. University of Georgia; 2011. Available from: http://purl.galileo.usg.edu/uga_etd/martin_justin_r_201108_ms

University of Georgia

3. Chakrabarti, Bhargabi. KiMIner: text mining : the impact of protein kinase mutations.

Degree: MS, Computer Science, 2015, University of Georgia

URL: http://purl.galileo.usg.edu/uga_etd/chakrabarti_bhargabi_201505_ms

► Each day, scientists publish numerous articles in the area of biology and biomedicine. In this thesis, we describe a text mining project on automatic extraction… (more)

Subjects/Keywords: text mining

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APA (6^th Edition):

Chakrabarti, B. (2015). KiMIner: text mining : the impact of protein kinase mutations. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/chakrabarti_bhargabi_201505_ms

Chicago Manual of Style (16^th Edition):

Chakrabarti, Bhargabi. “KiMIner: text mining : the impact of protein kinase mutations.” 2015. Masters Thesis, University of Georgia. Accessed February 26, 2020. http://purl.galileo.usg.edu/uga_etd/chakrabarti_bhargabi_201505_ms.

MLA Handbook (7^th Edition):

Chakrabarti, Bhargabi. “KiMIner: text mining : the impact of protein kinase mutations.” 2015. Web. 26 Feb 2020.

Vancouver:

Chakrabarti B. KiMIner: text mining : the impact of protein kinase mutations. [Internet] [Masters thesis]. University of Georgia; 2015. [cited 2020 Feb 26]. Available from: http://purl.galileo.usg.edu/uga_etd/chakrabarti_bhargabi_201505_ms.

Council of Science Editors:

Chakrabarti B. KiMIner: text mining : the impact of protein kinase mutations. [Masters Thesis]. University of Georgia; 2015. Available from: http://purl.galileo.usg.edu/uga_etd/chakrabarti_bhargabi_201505_ms

Queensland University of Technology

4. Shen, Yan. Personalized ontology learning for enhancing text mining effectiveness.

Degree: 2013, Queensland University of Technology

URL: https://eprints.qut.edu.au/63699/

► Over the last decade, the majority of existing search techniques is either keyword- based or category-based, resulting in unsatisfactory effectiveness. Meanwhile, studies have illustrated that… (more)

▼ Over the last decade, the majority of existing search techniques is either keyword- based or category-based, resulting in unsatisfactory effectiveness. Meanwhile, studies have illustrated that more than 80% of users preferred personalized search results. As a result, many studies paid a great deal of efforts (referred to as col- laborative filtering) investigating on personalized notions for enhancing retrieval performance. One of the fundamental yet most challenging steps is to capture precise user information needs. Most Web users are inexperienced or lack the capability to express their needs properly, whereas the existent retrieval systems are highly sensitive to vocabulary. Researchers have increasingly proposed the utilization of ontology-based tech- niques to improve current mining approaches. The related techniques are not only able to refine search intentions among specific generic domains, but also to access new knowledge by tracking semantic relations. In recent years, some researchers have attempted to build ontological user profiles according to discovered user background knowledge. The knowledge is considered to be both global and lo- cal analyses, which aim to produce tailored ontologies by a group of concepts. However, a key problem here that has not been addressed is: how to accurately match diverse local information to universal global knowledge. This research conducts a theoretical study on the use of personalized ontolo- gies to enhance text mining performance. The objective is to understand user information needs by a \bag-of-concepts" rather than \words". The concepts are gathered from a general world knowledge base named the Library of Congress Subject Headings. To return desirable search results, a novel ontology-based mining approach is introduced to discover accurate search intentions and learn personalized ontologies as user profiles. The approach can not only pinpoint users' individual intentions in a rough hierarchical structure, but can also in- terpret their needs by a set of acknowledged concepts. Along with global and local analyses, another solid concept matching approach is carried out to address about the mismatch between local information and world knowledge. Relevance features produced by the Relevance Feature Discovery model, are determined as representatives of local information. These features have been proven as the best alternative for user queries to avoid ambiguity and consistently outperform the features extracted by other filtering models. The two attempt-to-proposed ap- proaches are both evaluated by a scientific evaluation with the standard Reuters Corpus Volume 1 testing set. A comprehensive comparison is made with a num- ber of the state-of-the art baseline models, including TF-IDF, Rocchio, Okapi BM25, the deploying Pattern Taxonomy Model, and an ontology-based model. The gathered results indicate that the top precision can be improved remarkably with the proposed ontology mining approach, where the matching approach is successful and achieves…

Subjects/Keywords: text mining

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APA (6^th Edition):

Shen, Y. (2013). Personalized ontology learning for enhancing text mining effectiveness. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/63699/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Shen, Yan. “Personalized ontology learning for enhancing text mining effectiveness.” 2013. Thesis, Queensland University of Technology. Accessed February 26, 2020. https://eprints.qut.edu.au/63699/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Shen, Yan. “Personalized ontology learning for enhancing text mining effectiveness.” 2013. Web. 26 Feb 2020.

Vancouver:

Shen Y. Personalized ontology learning for enhancing text mining effectiveness. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2020 Feb 26]. Available from: https://eprints.qut.edu.au/63699/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shen Y. Personalized ontology learning for enhancing text mining effectiveness. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/63699/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Queens University

5. Alsadhan, Nasser. Inferring Systemic Functional Language Models .

Degree: Computing, 2014, Queens University

URL: http://hdl.handle.net/1974/12396

► Language production in the brain is a complicated process that is not yet fully understood. The bag-of-words model, which considers the frequencies of each word… (more)

Subjects/Keywords: Text Mining

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APA (6^th Edition):

Alsadhan, N. (2014). Inferring Systemic Functional Language Models . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/12396

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Alsadhan, Nasser. “Inferring Systemic Functional Language Models .” 2014. Thesis, Queens University. Accessed February 26, 2020. http://hdl.handle.net/1974/12396.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Alsadhan, Nasser. “Inferring Systemic Functional Language Models .” 2014. Web. 26 Feb 2020.

Vancouver:

Alsadhan N. Inferring Systemic Functional Language Models . [Internet] [Thesis]. Queens University; 2014. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/1974/12396.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alsadhan N. Inferring Systemic Functional Language Models . [Thesis]. Queens University; 2014. Available from: http://hdl.handle.net/1974/12396

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

6. Haque, Asif-ul. Information And Social System Interaction .

Degree: 2011, Cornell University

URL: http://hdl.handle.net/1813/30752

► Ever increasing participation has made the interaction between information and social systems not only interesting to observe but essential to quantify and analyze. This dissertation… (more)

Subjects/Keywords: data mining; networks; text mining

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APA (6^th Edition):

Haque, A. (2011). Information And Social System Interaction . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/30752

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Haque, Asif-ul. “Information And Social System Interaction .” 2011. Thesis, Cornell University. Accessed February 26, 2020. http://hdl.handle.net/1813/30752.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Haque, Asif-ul. “Information And Social System Interaction .” 2011. Web. 26 Feb 2020.

Vancouver:

Haque A. Information And Social System Interaction . [Internet] [Thesis]. Cornell University; 2011. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/1813/30752.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Haque A. Information And Social System Interaction . [Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/30752

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Queens University

7. Lamb, Carolyn. Detecting Deception in Interrogation Settings .

Degree: Computing, 2012, Queens University

URL: http://hdl.handle.net/1974/7695

► Bag-of-words deception detection systems outperform humans, but are still not always accurate enough to be useful. In interrogation settings, present models do not take into… (more)

Subjects/Keywords: Data Mining; Deception; Text Mining

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APA (6^th Edition):

Lamb, C. (2012). Detecting Deception in Interrogation Settings . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/7695

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lamb, Carolyn. “Detecting Deception in Interrogation Settings .” 2012. Thesis, Queens University. Accessed February 26, 2020. http://hdl.handle.net/1974/7695.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lamb, Carolyn. “Detecting Deception in Interrogation Settings .” 2012. Web. 26 Feb 2020.

Vancouver:

Lamb C. Detecting Deception in Interrogation Settings . [Internet] [Thesis]. Queens University; 2012. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/1974/7695.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lamb C. Detecting Deception in Interrogation Settings . [Thesis]. Queens University; 2012. Available from: http://hdl.handle.net/1974/7695

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

8. Xu, Jinyao. A general tool for interactive analysis of opinions in reviews.

Degree: MS, Computer Science, 2015, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/78669

► Online review data contains useful information about consumers’ opinions about the reviewed products. Understanding reviews is extremely important for a producer, such as a corporation… (more)

Subjects/Keywords: Text Mining; Reviews

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APA (6^th Edition):

Xu, J. (2015). A general tool for interactive analysis of opinions in reviews. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78669

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Xu, Jinyao. “A general tool for interactive analysis of opinions in reviews.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed February 26, 2020. http://hdl.handle.net/2142/78669.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Xu, Jinyao. “A general tool for interactive analysis of opinions in reviews.” 2015. Web. 26 Feb 2020.

Vancouver:

Xu J. A general tool for interactive analysis of opinions in reviews. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/2142/78669.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu J. A general tool for interactive analysis of opinions in reviews. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78669

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

California State University – Sacramento

9. Balasubramanian, Sinduja. Text mining on Amazon reviews to extract feature based feedback.

Degree: MS, Computer Science, 2017, California State University – Sacramento

URL: http://hdl.handle.net/10211.3/198628

► Analyzing the feedback on a product or a service helps to improve the quality of the product or service. That way, reviews from online shopping… (more)

Subjects/Keywords: NLP; Text mining; Feature extraction

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APA (6^th Edition):

Balasubramanian, S. (2017). Text mining on Amazon reviews to extract feature based feedback. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198628

Chicago Manual of Style (16^th Edition):

Balasubramanian, Sinduja. “Text mining on Amazon reviews to extract feature based feedback.” 2017. Masters Thesis, California State University – Sacramento. Accessed February 26, 2020. http://hdl.handle.net/10211.3/198628.

MLA Handbook (7^th Edition):

Balasubramanian, Sinduja. “Text mining on Amazon reviews to extract feature based feedback.” 2017. Web. 26 Feb 2020.

Vancouver:

Balasubramanian S. Text mining on Amazon reviews to extract feature based feedback. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/10211.3/198628.

Council of Science Editors:

Balasubramanian S. Text mining on Amazon reviews to extract feature based feedback. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198628

NSYSU

10. Chen, Yu-ling. The Research on the Detection of Noteworthy Symptom Descriptions.

Degree: Master, Information Management, 2016, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0306116-140216

► The advance of cell phone and technology create a convenient way to connect doctors and patients. Doctors can keep track of patientsâ situations by their… (more)

Subjects/Keywords: Text mining; CKIP; LIBSVM; Classification

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APA (6^th Edition):

Chen, Y. (2016). The Research on the Detection of Noteworthy Symptom Descriptions. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0306116-140216

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chen, Yu-ling. “The Research on the Detection of Noteworthy Symptom Descriptions.” 2016. Thesis, NSYSU. Accessed February 26, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0306116-140216.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chen, Yu-ling. “The Research on the Detection of Noteworthy Symptom Descriptions.” 2016. Web. 26 Feb 2020.

Vancouver:

Chen Y. The Research on the Detection of Noteworthy Symptom Descriptions. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Feb 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0306116-140216.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen Y. The Research on the Detection of Noteworthy Symptom Descriptions. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0306116-140216

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

11. Hu, Xiaocheng. DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH.

Degree: MS, Industrial Engineering, 2015, Penn State University

URL: https://etda.libraries.psu.edu/catalog/25731

► Most of the researches on corporate filling mainly focus on qualitative analysis. This thesis used quantitative method-Bayesian Learning Machine in analyzing the information content of… (more)

Subjects/Keywords: data mining; text analysis; Perl

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APA (6^th Edition):

Hu, X. (2015). DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/25731

Chicago Manual of Style (16^th Edition):

Hu, Xiaocheng. “DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH.” 2015. Masters Thesis, Penn State University. Accessed February 26, 2020. https://etda.libraries.psu.edu/catalog/25731.

MLA Handbook (7^th Edition):

Hu, Xiaocheng. “DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH.” 2015. Web. 26 Feb 2020.

Vancouver:

Hu X. DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH. [Internet] [Masters thesis]. Penn State University; 2015. [cited 2020 Feb 26]. Available from: https://etda.libraries.psu.edu/catalog/25731.

Council of Science Editors:

Hu X. DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH. [Masters Thesis]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/25731

University of Manchester

12. Gerner, Lars Martin Anders. Integrating text-mining approaches to identify entities and extract events from the biomedical literature.

Degree: PhD, 2012, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/integrating-textmining-approaches-to-identify-entities-and-extract-events-from-the-biomedical-literature(44f8e79a-3782-4687-85c7-eee1fda5cb76).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553476

► The amount of biomedical literature available is increasing at an exponential rate and is becoming increasingly difficult to navigate. Text-mining methods can potentially mitigate this… (more)

Subjects/Keywords: 006.312; Biomedical text mining

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APA (6^th Edition):

Gerner, L. M. A. (2012). Integrating text-mining approaches to identify entities and extract events from the biomedical literature. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/integrating-textmining-approaches-to-identify-entities-and-extract-events-from-the-biomedical-literature(44f8e79a-3782-4687-85c7-eee1fda5cb76).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553476

Chicago Manual of Style (16^th Edition):

Gerner, Lars Martin Anders. “Integrating text-mining approaches to identify entities and extract events from the biomedical literature.” 2012. Doctoral Dissertation, University of Manchester. Accessed February 26, 2020. https://www.research.manchester.ac.uk/portal/en/theses/integrating-textmining-approaches-to-identify-entities-and-extract-events-from-the-biomedical-literature(44f8e79a-3782-4687-85c7-eee1fda5cb76).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553476.

MLA Handbook (7^th Edition):

Gerner, Lars Martin Anders. “Integrating text-mining approaches to identify entities and extract events from the biomedical literature.” 2012. Web. 26 Feb 2020.

Vancouver:

Gerner LMA. Integrating text-mining approaches to identify entities and extract events from the biomedical literature. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2020 Feb 26]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/integrating-textmining-approaches-to-identify-entities-and-extract-events-from-the-biomedical-literature(44f8e79a-3782-4687-85c7-eee1fda5cb76).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553476.

Council of Science Editors:

Gerner LMA. Integrating text-mining approaches to identify entities and extract events from the biomedical literature. [Doctoral Dissertation]. University of Manchester; 2012. Available from: https://www.research.manchester.ac.uk/portal/en/theses/integrating-textmining-approaches-to-identify-entities-and-extract-events-from-the-biomedical-literature(44f8e79a-3782-4687-85c7-eee1fda5cb76).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553476

University of Manchester

13. Florez Vargas, Oscar Roberto. DEVELOPMENT OF STRATEGIES FOR ASSESSING REPORTING IN BIOMEDICAL RESEARCH: MOVING TOWARD ENHANCING REPRODUCIBILITY.

Degree: 2016, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:302324

► The idea that the same experimental findings can be reproduced by a variety of independent approaches is one of the cornerstones of science’s claim to… (more)

▼ The idea that the same experimental findings can be reproduced by a variety of independent approaches is one of the cornerstones of science’s claim to objective truth. However, in recent years, it has become clear that science is plagued by findings that cannot be reproduced and, consequently, invalidating research studies and undermining public trust in the research enterprise. The observed lack of reproducibility may be a result, among other things, of the lack of transparency or completeness in reporting. In particular, omissions in reporting the technical nature of the experimental method make it difficult to verify the findings of experimental research in biomedicine. In this context, the assessment of scientific reports could help to overcome – at least in part – the ongoing reproducibility crisis.In addressing this issue, this Thesis undertakes the challenge of developing strategies for the evaluation of reporting biomedical experimental methods in scientific manuscripts. Considering the complexity of experimental design – often involving different technologies and models, we characterise the problem in methods reporting through domain-specific checklists. Then, by using checklists as a decision making tool, supported by miniRECH – a spreadsheet-based approach that can be used by authors, editors and peer-reviewers – a reasonable level of consensus on reporting assessments was achieved regardless of the domain-specific expertise of referees. In addition, by using a text-mining system as a screening tool, a framework to guide an automated assessment of the reporting of bio-experiments was created. The usefulness of these strategies was demonstrated in some domain-specific scientific areas as well as in mouse models across biomedical research.In conclusion, we suggested that the strategies developed in this work could be implemented through the publication process as barriers to prevent incomplete reporting from entering the scientific literature, as well as promoters of completeness in reporting to improve the general value of the scientific evidence. Advisors/Committee Members: STEVENS, ROBERT RD, Brass, Andrew, Stevens, Robert.

Subjects/Keywords: Reproducibility; Checklists; Text Mining; Biomedicine

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APA (6^th Edition):

Florez Vargas, O. R. (2016). DEVELOPMENT OF STRATEGIES FOR ASSESSING REPORTING IN BIOMEDICAL RESEARCH: MOVING TOWARD ENHANCING REPRODUCIBILITY. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:302324

Chicago Manual of Style (16^th Edition):

Florez Vargas, Oscar Roberto. “DEVELOPMENT OF STRATEGIES FOR ASSESSING REPORTING IN BIOMEDICAL RESEARCH: MOVING TOWARD ENHANCING REPRODUCIBILITY.” 2016. Doctoral Dissertation, University of Manchester. Accessed February 26, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:302324.

MLA Handbook (7^th Edition):

Florez Vargas, Oscar Roberto. “DEVELOPMENT OF STRATEGIES FOR ASSESSING REPORTING IN BIOMEDICAL RESEARCH: MOVING TOWARD ENHANCING REPRODUCIBILITY.” 2016. Web. 26 Feb 2020.

Vancouver:

Florez Vargas OR. DEVELOPMENT OF STRATEGIES FOR ASSESSING REPORTING IN BIOMEDICAL RESEARCH: MOVING TOWARD ENHANCING REPRODUCIBILITY. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2020 Feb 26]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:302324.

Council of Science Editors:

Florez Vargas OR. DEVELOPMENT OF STRATEGIES FOR ASSESSING REPORTING IN BIOMEDICAL RESEARCH: MOVING TOWARD ENHANCING REPRODUCIBILITY. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:302324

Universidade Nova

14. Viana, Hugo Henrique Amorim. Automatic information retrieval through text-mining.

Degree: 2013, Universidade Nova

URL: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11308

►

The dissertation presented for obtaining the Master’s Degree in Electrical Engineering and Computer Science, at Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Nowadays,… (more)

Subjects/Keywords: Text-mining; Stemmer; Clustering; Lucene

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Viana, H. H. A. (2013). Automatic information retrieval through text-mining. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11308

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Viana, Hugo Henrique Amorim. “Automatic information retrieval through text-mining.” 2013. Thesis, Universidade Nova. Accessed February 26, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11308.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Viana, Hugo Henrique Amorim. “Automatic information retrieval through text-mining.” 2013. Web. 26 Feb 2020.

Vancouver:

Viana HHA. Automatic information retrieval through text-mining. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2020 Feb 26]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11308.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Viana HHA. Automatic information retrieval through text-mining. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11308

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Queens University

15. Lam, Yin. Comparing Naïve Bayes Classifiers with Support Vector Machines for Predicting Protein Subcellular Location Using Text Features .

Degree: Computing, 2010, Queens University

URL: http://hdl.handle.net/1974/5920

► Proteins play many roles in the body, and the task of understanding how proteins function is very challenging. Determining a protein’s location within the cell… (more)

Subjects/Keywords: Text Mining; Protein Subcellular Location

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lam, Y. (2010). Comparing Naïve Bayes Classifiers with Support Vector Machines for Predicting Protein Subcellular Location Using Text Features . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/5920

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lam, Yin. “Comparing Naïve Bayes Classifiers with Support Vector Machines for Predicting Protein Subcellular Location Using Text Features .” 2010. Thesis, Queens University. Accessed February 26, 2020. http://hdl.handle.net/1974/5920.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lam, Yin. “Comparing Naïve Bayes Classifiers with Support Vector Machines for Predicting Protein Subcellular Location Using Text Features .” 2010. Web. 26 Feb 2020.

Vancouver:

Lam Y. Comparing Naïve Bayes Classifiers with Support Vector Machines for Predicting Protein Subcellular Location Using Text Features . [Internet] [Thesis]. Queens University; 2010. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/1974/5920.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lam Y. Comparing Naïve Bayes Classifiers with Support Vector Machines for Predicting Protein Subcellular Location Using Text Features . [Thesis]. Queens University; 2010. Available from: http://hdl.handle.net/1974/5920

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Aberdeen

16. Barawi, Mohamad Hardyman. Automatic topic labelling and opinion summarisation.

Degree: PhD, 2019, University of Aberdeen

URL: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=243071 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794105

► With the global increase in online tools such as online reviews and social media platforms, individuals all around the globe have changed their way of… (more)

Subjects/Keywords: Text data mining; Probabilities

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Barawi, M. H. (2019). Automatic topic labelling and opinion summarisation. (Doctoral Dissertation). University of Aberdeen. Retrieved from http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=243071 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794105

Chicago Manual of Style (16^th Edition):

Barawi, Mohamad Hardyman. “Automatic topic labelling and opinion summarisation.” 2019. Doctoral Dissertation, University of Aberdeen. Accessed February 26, 2020. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=243071 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794105.

MLA Handbook (7^th Edition):

Barawi, Mohamad Hardyman. “Automatic topic labelling and opinion summarisation.” 2019. Web. 26 Feb 2020.

Vancouver:

Barawi MH. Automatic topic labelling and opinion summarisation. [Internet] [Doctoral dissertation]. University of Aberdeen; 2019. [cited 2020 Feb 26]. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=243071 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794105.

Council of Science Editors:

Barawi MH. Automatic topic labelling and opinion summarisation. [Doctoral Dissertation]. University of Aberdeen; 2019. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=243071 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794105

University of Sydney

17. Southavilay, Vilaythong. A Data Mining Toolbox for Collaborative Writing Processes .

Degree: 2013, University of Sydney

URL: http://hdl.handle.net/2123/9764

► Collaborative writing (CW) is an essential skill in academia and industry. Providing support during the process of CW can be useful not only for achieving… (more)

▼ Collaborative writing (CW) is an essential skill in academia and industry. Providing support during the process of CW can be useful not only for achieving better quality documents, but also for improving the CW skills of the writers. In order to properly support collaborative writing, it is essential to understand how ideas and concepts are developed during the writing process, which consists of a series of steps of writing activities. These steps can be considered as sequence patterns comprising both time events and the semantics of the changes made during those steps. Two techniques can be combined to examine those patterns: process mining, which focuses on extracting process-related knowledge from event logs recorded by an information system; and semantic analysis, which focuses on extracting knowledge about what the student wrote or edited. This thesis contributes (i) techniques to automatically extract process models of collaborative writing processes and (ii) visualisations to describe aspects of collaborative writing. These two techniques form a data mining toolbox for collaborative writing by using process mining, probabilistic graphical models, and text mining. First, I created a framework, WriteProc, for investigating collaborative writing processes, integrated with the existing cloud computing writing tools in Google Docs. Secondly, I created new heuristic to extract the semantic nature of text edits that occur in the document revisions and automatically identify the corresponding writing activities. Thirdly, based on sequences of writing activities, I propose methods to discover the writing process models and transitional state diagrams using a process mining algorithm, Heuristics Miner, and Hidden Markov Models, respectively. Finally, I designed three types of visualisations and made contributions to their underlying techniques for analysing writing processes. All components of the toolbox are validated against annotated writing activities of real documents and a synthetic dataset. I also illustrate how the automatically discovered process models and visualisations are used in the process analysis with real documents written by groups of graduate students. I discuss how the analyses can be used to gain further insight into how students work and create their collaborative documents.

Subjects/Keywords: process mining; text mining; collaborative writing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Southavilay, V. (2013). A Data Mining Toolbox for Collaborative Writing Processes . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9764

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Southavilay, Vilaythong. “A Data Mining Toolbox for Collaborative Writing Processes .” 2013. Thesis, University of Sydney. Accessed February 26, 2020. http://hdl.handle.net/2123/9764.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Southavilay, Vilaythong. “A Data Mining Toolbox for Collaborative Writing Processes .” 2013. Web. 26 Feb 2020.

Vancouver:

Southavilay V. A Data Mining Toolbox for Collaborative Writing Processes . [Internet] [Thesis]. University of Sydney; 2013. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/2123/9764.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Southavilay V. A Data Mining Toolbox for Collaborative Writing Processes . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9764

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

18. Jessop, David M. Information extraction from chemical patents.

Degree: PhD, 2011, University of Cambridge

URL: http://www.dspace.cam.ac.uk/handle/1810/238302https://www.repository.cam.ac.uk/bitstream/1810/238302/3/supportingInformation.zip ; https://www.repository.cam.ac.uk/bitstream/1810/238302/4/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/238302/7/thesis-final.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/238302/8/thesis-final.pdf.jpg

► The automated extraction of semantic chemical data from the existing literature is demonstrated. For reasons of copyright, the work is focused on the patent literature,… (more)

Subjects/Keywords: information extraction; text mining; chemical patents; patents; chemical text mining; PatentEye

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jessop, D. M. (2011). Information extraction from chemical patents. (Doctoral Dissertation). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/238302https://www.repository.cam.ac.uk/bitstream/1810/238302/3/supportingInformation.zip ; https://www.repository.cam.ac.uk/bitstream/1810/238302/4/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/238302/7/thesis-final.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/238302/8/thesis-final.pdf.jpg

Chicago Manual of Style (16^th Edition):

Jessop, David M. “Information extraction from chemical patents.” 2011. Doctoral Dissertation, University of Cambridge. Accessed February 26, 2020. http://www.dspace.cam.ac.uk/handle/1810/238302https://www.repository.cam.ac.uk/bitstream/1810/238302/3/supportingInformation.zip ; https://www.repository.cam.ac.uk/bitstream/1810/238302/4/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/238302/7/thesis-final.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/238302/8/thesis-final.pdf.jpg.

MLA Handbook (7^th Edition):

Jessop, David M. “Information extraction from chemical patents.” 2011. Web. 26 Feb 2020.

Vancouver:

Jessop DM. Information extraction from chemical patents. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2020 Feb 26]. Available from: http://www.dspace.cam.ac.uk/handle/1810/238302https://www.repository.cam.ac.uk/bitstream/1810/238302/3/supportingInformation.zip ; https://www.repository.cam.ac.uk/bitstream/1810/238302/4/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/238302/7/thesis-final.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/238302/8/thesis-final.pdf.jpg.

Council of Science Editors:

Jessop DM. Information extraction from chemical patents. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: http://www.dspace.cam.ac.uk/handle/1810/238302https://www.repository.cam.ac.uk/bitstream/1810/238302/3/supportingInformation.zip ; https://www.repository.cam.ac.uk/bitstream/1810/238302/4/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/238302/7/thesis-final.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/238302/8/thesis-final.pdf.jpg

Linköping University

19. Benis, Nirupama. Corpus construction based on Ontological domain knowledge.

Degree: Computer and Information Science, 2011, Linköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71851

► The purpose of this thesis is to contribute a corpus for sentence level interpretation of biomedical language. The available corpora for the biomedical domain… (more)

Subjects/Keywords: Text mining; Biomedical text mining; Natural Language Processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Benis, N. (2011). Corpus construction based on Ontological domain knowledge. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71851

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Benis, Nirupama. “Corpus construction based on Ontological domain knowledge.” 2011. Thesis, Linköping University. Accessed February 26, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71851.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Benis, Nirupama. “Corpus construction based on Ontological domain knowledge.” 2011. Web. 26 Feb 2020.

Vancouver:

Benis N. Corpus construction based on Ontological domain knowledge. [Internet] [Thesis]. Linköping University; 2011. [cited 2020 Feb 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71851.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Benis N. Corpus construction based on Ontological domain knowledge. [Thesis]. Linköping University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71851

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

20. Lowe, Daniel Mark. Extraction of chemical structures and reactions from the literature.

Degree: PhD, 2012, University of Cambridge

URL: http://www.dspace.cam.ac.uk/handle/1810/244727https://www.repository.cam.ac.uk/bitstream/1810/244727/2/Extraction%20of%20chemical%20structures%20and%20reactions%20from%20the%20literature_Supporting%20Information.zip ; https://www.repository.cam.ac.uk/bitstream/1810/244727/3/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244727/4/lowethesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244727/5/lowethesis.pdf.jpg

► The ever increasing quantity of chemical literature necessitates the creation of automated techniques for extracting relevant information. This work focuses on two aspects: the conversion… (more)

▼ The ever increasing quantity of chemical literature necessitates the creation of automated techniques for extracting relevant information. This work focuses on two aspects: the conversion of chemical names to computer readable structure representations and the extraction of chemical reactions from text. Chemical names are a common way of communicating chemical structure information. OPSIN (Open Parser for Systematic IUPAC Nomenclature), an open source, freely available algorithm for converting chemical names to structures was developed. OPSIN employs a regular grammar to direct tokenisation and parsing leading to the generation of an XML parse tree. Nomenclature operations are applied successively to the tree with many requiring the manipulation of an in-memory connection table representation of the structure under construction. Areas of nomenclature supported are described with attention being drawn to difficulties that may be encountered in name to structure conversion. Results on sets of generated names and names extracted from patents are presented. On generated names, recall of between 96.2% and 99.0% was achieved with a lower bound of 97.9% on precision with all results either being comparable or superior to the tested commercial solutions. On the patent names OPSIN s recall was 2-10% higher than the tested solutions when the patent names were processed as found in the patents. The uses of OPSIN as a web service and as a tool for identifying chemical names in text are shown to demonstrate the direct utility of this algorithm. A software system for extracting chemical reactions from the text of chemical patents was developed. The system relies on the output of ChemicalTagger, a tool for tagging words and identifying phrases of importance in experimental chemistry text. Improvements to this tool required to facilitate this task are documented. The structure of chemical entities are where possible determined using OPSIN in conjunction with a dictionary of name to structure relationships. Extracted reactions are atom mapped to confirm that they are chemically consistent. 424,621 atom mapped reactions were extracted from 65,034 organic chemistry USPTO patents. On a sample of 100 of these extracted reactions chemical entities were identified with 96.4% recall and 88.9% precision. Quantities could be associated with reagents in 98.8% of cases and 64.9% of cases for products whilst the correct role was assigned to chemical entities in 91.8% of cases. Qualitatively the system captured the essence of the reaction in 95% of cases. This system is expected to be useful in the creation of searchable databases of reactions from chemical patents and in facilitating analysis of the properties of large populations of reactions.

Subjects/Keywords: Name to structure; OPSIN; Chemical text mining; Text mining; Patent reaction extraction; Reaction mining; Patents

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lowe, D. M. (2012). Extraction of chemical structures and reactions from the literature. (Doctoral Dissertation). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/244727https://www.repository.cam.ac.uk/bitstream/1810/244727/2/Extraction%20of%20chemical%20structures%20and%20reactions%20from%20the%20literature_Supporting%20Information.zip ; https://www.repository.cam.ac.uk/bitstream/1810/244727/3/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244727/4/lowethesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244727/5/lowethesis.pdf.jpg

Chicago Manual of Style (16^th Edition):

Lowe, Daniel Mark. “Extraction of chemical structures and reactions from the literature.” 2012. Doctoral Dissertation, University of Cambridge. Accessed February 26, 2020. http://www.dspace.cam.ac.uk/handle/1810/244727https://www.repository.cam.ac.uk/bitstream/1810/244727/2/Extraction%20of%20chemical%20structures%20and%20reactions%20from%20the%20literature_Supporting%20Information.zip ; https://www.repository.cam.ac.uk/bitstream/1810/244727/3/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244727/4/lowethesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244727/5/lowethesis.pdf.jpg.

MLA Handbook (7^th Edition):

Lowe, Daniel Mark. “Extraction of chemical structures and reactions from the literature.” 2012. Web. 26 Feb 2020.

Vancouver:

Lowe DM. Extraction of chemical structures and reactions from the literature. [Internet] [Doctoral dissertation]. University of Cambridge; 2012. [cited 2020 Feb 26]. Available from: http://www.dspace.cam.ac.uk/handle/1810/244727https://www.repository.cam.ac.uk/bitstream/1810/244727/2/Extraction%20of%20chemical%20structures%20and%20reactions%20from%20the%20literature_Supporting%20Information.zip ; https://www.repository.cam.ac.uk/bitstream/1810/244727/3/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244727/4/lowethesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244727/5/lowethesis.pdf.jpg.

Council of Science Editors:

Lowe DM. Extraction of chemical structures and reactions from the literature. [Doctoral Dissertation]. University of Cambridge; 2012. Available from: http://www.dspace.cam.ac.uk/handle/1810/244727https://www.repository.cam.ac.uk/bitstream/1810/244727/2/Extraction%20of%20chemical%20structures%20and%20reactions%20from%20the%20literature_Supporting%20Information.zip ; https://www.repository.cam.ac.uk/bitstream/1810/244727/3/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244727/4/lowethesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244727/5/lowethesis.pdf.jpg

Queensland University of Technology

21. Albathan, Mubarak Murdi M. Enhancement of relevant features for text mining.

Degree: 2015, Queensland University of Technology

URL: https://eprints.qut.edu.au/90072/

► With the explosion of information resources, there is an imminent need to understand interesting text features or topics in massive text information. This thesis proposes… (more)

Subjects/Keywords: Text Mining; Feature Selection; Information retrieval; Data Mining; pattern mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Albathan, M. M. M. (2015). Enhancement of relevant features for text mining. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/90072/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Albathan, Mubarak Murdi M. “Enhancement of relevant features for text mining.” 2015. Thesis, Queensland University of Technology. Accessed February 26, 2020. https://eprints.qut.edu.au/90072/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Albathan, Mubarak Murdi M. “Enhancement of relevant features for text mining.” 2015. Web. 26 Feb 2020.

Vancouver:

Albathan MMM. Enhancement of relevant features for text mining. [Internet] [Thesis]. Queensland University of Technology; 2015. [cited 2020 Feb 26]. Available from: https://eprints.qut.edu.au/90072/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Albathan MMM. Enhancement of relevant features for text mining. [Thesis]. Queensland University of Technology; 2015. Available from: https://eprints.qut.edu.au/90072/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Windsor

22. Ejieh, Chukwuma. ASPECT-BASED OPINION MINING OF PRODUCT REVIEWS IN MICROBLOGS USING MOST RELEVANT FREQUENT CLUSTERS OF TERMS.

Degree: MS, Computer Science, 2016, University of Windsor

URL: https://scholar.uwindsor.ca/etd/5728

► Aspect-based Opinion Mining (ABOM) systems take as input a corpus about a product and aim to mine the aspects (the features or parts) of the… (more)

Subjects/Keywords: Aspect-based Opinion Mining; Data Mining; Machine Learning; Microblogs; Opinion Mining; Text Mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ejieh, C. (2016). ASPECT-BASED OPINION MINING OF PRODUCT REVIEWS IN MICROBLOGS USING MOST RELEVANT FREQUENT CLUSTERS OF TERMS. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5728

Chicago Manual of Style (16^th Edition):

Ejieh, Chukwuma. “ASPECT-BASED OPINION MINING OF PRODUCT REVIEWS IN MICROBLOGS USING MOST RELEVANT FREQUENT CLUSTERS OF TERMS.” 2016. Masters Thesis, University of Windsor. Accessed February 26, 2020. https://scholar.uwindsor.ca/etd/5728.

MLA Handbook (7^th Edition):

Ejieh, Chukwuma. “ASPECT-BASED OPINION MINING OF PRODUCT REVIEWS IN MICROBLOGS USING MOST RELEVANT FREQUENT CLUSTERS OF TERMS.” 2016. Web. 26 Feb 2020.

Vancouver:

Ejieh C. ASPECT-BASED OPINION MINING OF PRODUCT REVIEWS IN MICROBLOGS USING MOST RELEVANT FREQUENT CLUSTERS OF TERMS. [Internet] [Masters thesis]. University of Windsor; 2016. [cited 2020 Feb 26]. Available from: https://scholar.uwindsor.ca/etd/5728.

Council of Science Editors:

Ejieh C. ASPECT-BASED OPINION MINING OF PRODUCT REVIEWS IN MICROBLOGS USING MOST RELEVANT FREQUENT CLUSTERS OF TERMS. [Masters Thesis]. University of Windsor; 2016. Available from: https://scholar.uwindsor.ca/etd/5728

Dalhousie University

23. Hu, Yeming. Document Clustering with Dual Supervision.

Degree: PhD, Faculty of Computer Science, 2012, Dalhousie University

URL: http://hdl.handle.net/10222/15056

► Nowadays, academic researchers maintain a personal library of papers, which they would like to organize based on their needs, e.g., research, projects, or courseware. Clustering… (more)

▼ Nowadays, academic researchers maintain a personal library of papers, which they would like to organize based on their needs, e.g., research, projects, or courseware. Clustering techniques are often employed to achieve this goal by grouping the document collection into different topics. Unsupervised clustering does not require any user effort but only produces one universal output with which users may not be satisfied. Therefore, document clustering needs user input for guidance to generate personalized clusters for different users. Semi-supervised clustering incorporates prior information and has the potential to produce customized clusters. Traditional semi-supervised clustering is based on user supervision in the form of labeled instances or pairwise instance constraints. However, alternative forms of user supervision exist such as labeling features. For document clustering, document supervision involves labeling documents while feature supervision involves labeling features. Their joint of use has been called dual supervision. In this thesis, we first explore and propose a framework to use feature supervision for interactive feature selection by indicating whether a feature is useful for clustering. Second, we enhance the semi-supervised clustering with feature supervision using feature reweighting. Third, we propose a unified framework to combine document supervision and feature supervision through seeding. The newly proposed algorithms are evaluated using oracles and demonstrated to be more helpful in producing better clusters matching a single user's point of view than document clustering without any supervision and with only document supervision. Finally, we conduct a user study to confirm that different users have different understandings of the same document collection and prefer personalized clusters. At the same time, we demonstrate that document clustering with dual supervision is able to produce good personalized clusters even with noisy user input. Dual supervision is also demonstrated to be more effective in personalized clustering than no supervision or any single supervision. We also analyze users' behaviors during the user study and present suggestions for the design of document management software. Advisors/Committee Members: Dr. Mario A. Nascimento (external-examiner), Dr. Qigang Gao (graduate-coordinator), Dr. Vlado Keselj (thesis-reader), Dr. Qigang Gao (thesis-reader), Dr. Evangelos E. Milios and Dr. James Blustein (thesis-supervisor), Received (ethics-approval), Yes (manuscripts), Yes (copyright-release).

Subjects/Keywords: Document Management; Text Mining; Machine Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hu, Y. (2012). Document Clustering with Dual Supervision. (Doctoral Dissertation). Dalhousie University. Retrieved from http://hdl.handle.net/10222/15056

Chicago Manual of Style (16^th Edition):

Hu, Yeming. “Document Clustering with Dual Supervision.” 2012. Doctoral Dissertation, Dalhousie University. Accessed February 26, 2020. http://hdl.handle.net/10222/15056.

MLA Handbook (7^th Edition):

Hu, Yeming. “Document Clustering with Dual Supervision.” 2012. Web. 26 Feb 2020.

Vancouver:

Hu Y. Document Clustering with Dual Supervision. [Internet] [Doctoral dissertation]. Dalhousie University; 2012. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/10222/15056.

Council of Science Editors:

Hu Y. Document Clustering with Dual Supervision. [Doctoral Dissertation]. Dalhousie University; 2012. Available from: http://hdl.handle.net/10222/15056

University of Edinburgh

24. Edwards, Stephen. MilkMine: text-mining, milk proteins and hypothesis generation.

Degree: 2009, University of Edinburgh

URL: http://hdl.handle.net/1842/3869

► The vast and increasing volume of biological data can make it a struggle for scientists to keep up-to-date with the latest research and as a… (more)

▼ The vast and increasing volume of biological data can make it a struggle for scientists to keep up-to-date with the latest research and as a consequence they may miss significant biological links, particularly those that extend outwith their own area of expertise. MilkMine is an attempt to provide a single informatics resource to help milk protein scientists mine this information mountain more effectively, by integrating standard experimental data types with data generated by emerging text-mining techniques. A method was initially developed to identify milk-related terminology from peer-reviewed biological literature and this was used to complement the Unified Medical Language System (UMLS), a large thesaurus of biological concepts, their variant names and their types. The resultant enriched ontology was then mapped to the free text of peer-reviewed biological literature using the MMTx program producing a database of semantically enriched sentences. A co-occurrence relation extraction algorithm was written to identify relationships between milk proteins and peptides, and other biological concepts, such as diseases or biological processes. Using these literature relation sets new hypotheses can be generated using the basic principle that if “A is linked to B”, and if “B is linked to C” then we can infer an association between A and C. Filtering and downstream processing of the many generated relationships promotes significant interactions. These literature relations and hypotheses are integrated with biological data into the MilkMine database. The MilkMine database is built upon on a generic data warehousing system, InterMine. This tool enabled the integration of traditional data types, such as protein sequence or structural data, from a variety of sources (e.g. UniProt). However, the standard InterMine model was also extended by the author to include other data sources (e.g. the Protein Data Bank) and to incorporate the output of the text-mining algorithm. This integration of otherwise disparate information allows more complex querying of the data, across many data types. For example, protein sequences are mapped to instances of the names, synonyms or symbols of the protein in text, therefore a raw fragment of amino acid sequence (e.g. a particular binding region) can be used to search the MilkMine database for literature information as well as the interactions and hypotheses of those proteins that contain the sequence. The MilkMine resource is accessible online (www.bioinformatics.ed.ac.uk/milkmine) through a professional level query interface offering many features such as an interactive query builder, standard ready-to-run queries, bulk downloads and the ability to store user preferences and query histories. Evaluation of MilkMine showed that the text-mining algorithm, as well as the data integration, could provide the user with interesting connections for further study. Advisors/Committee Members: Sawyer, Lindsay, Webber, Bonnie.

Subjects/Keywords: text-mining; informatics; milk protein; milk peptide

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Edwards, S. (2009). MilkMine: text-mining, milk proteins and hypothesis generation. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3869

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Edwards, Stephen. “MilkMine: text-mining, milk proteins and hypothesis generation.” 2009. Thesis, University of Edinburgh. Accessed February 26, 2020. http://hdl.handle.net/1842/3869.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Edwards, Stephen. “MilkMine: text-mining, milk proteins and hypothesis generation.” 2009. Web. 26 Feb 2020.

Vancouver:

Edwards S. MilkMine: text-mining, milk proteins and hypothesis generation. [Internet] [Thesis]. University of Edinburgh; 2009. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/1842/3869.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Edwards S. MilkMine: text-mining, milk proteins and hypothesis generation. [Thesis]. University of Edinburgh; 2009. Available from: http://hdl.handle.net/1842/3869

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

25. Brann, Jeremy Matthew. Supply chain design: a conceptual model and tactical simulations.

Degree: 2009, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2758

► In current research literature, supply chain management (SCM) is a hot topic breaching the boundaries of many academic disciplines. SCM-related work can be found in… (more)

▼ In current research literature, supply chain management (SCM) is a hot topic breaching the boundaries of many academic disciplines. SCM-related work can be found in the relevant literature for many disciplines. Supply chain management can be defined as effectively and efficiently managing the flows (information, financial and physical) in all stages of the supply chain to add value to end customers and gain profit for all firms in the chain. Supply chains involve multiple partners with the common goal to satisfy customer demand at a profit. While supply chains are not new, the way academics and practitioners view the need for and the means to manage these chains is relatively new. Very little literature can be found on designing supply chains from the ground up or what dimensions of supply chain management should be considered when designing a supply chain. Additionally, we have found that very few tools exist to help during the design phase of a supply chain. Moreover, very few tools exist that allow for comparing supply chain designs. We contribute to the current literature by determining which supply chain management dimensions should be considered during the design process. We employ text mining to create a supply chain design conceptual model and compare this model to existing supply chain models and reference frameworks. We continue to contribute to the current SCM literature by applying a creative application of concepts and results in the field of Stochastic Processes to build a custom simulator capable of comparing different supply chain designs and providing insights into how the different designs affect the supply chain?s total inventory cost. The simulator provides a mechanism for testing when real-time demand information is more beneficial than using first-come, first-serve (FCFS) order processing when the distributional form of lead-time demand is derived from the supply chain operating characteristics instead of using the assumption that lead-time demand distributions are known. We find that in many instances FCFS out-performs the use of real-time information in providing the lowest total inventory cost. Advisors/Committee Members: Arreola-Risa, Antonio (advisor), Flores, Benito E. (committee member), Narayanan, Arunachalam (committee member), Oliva, Rogelio (committee member).

Subjects/Keywords: Supply Chain Design; Simulation; Text Mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Brann, J. M. (2009). Supply chain design: a conceptual model and tactical simulations. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2758

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Brann, Jeremy Matthew. “Supply chain design: a conceptual model and tactical simulations.” 2009. Thesis, Texas A&M University. Accessed February 26, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2758.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Brann, Jeremy Matthew. “Supply chain design: a conceptual model and tactical simulations.” 2009. Web. 26 Feb 2020.

Vancouver:

Brann JM. Supply chain design: a conceptual model and tactical simulations. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2758.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brann JM. Supply chain design: a conceptual model and tactical simulations. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2758

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

26. Kim, Hyun Duk. Generating comparative summaries of contradictory opinions in text.

Degree: MS, 0112, 2010, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/14680

► This thesis presents a study of a novel summarization problem called contrastive opinion summarization (COS). Given two sets of positively and negatively opinionated sentences which… (more)

Subjects/Keywords: Opinion Summarization; Contrastive Opinion Summary; Text mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kim, H. D. (2010). Generating comparative summaries of contradictory opinions in text. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14680

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kim, Hyun Duk. “Generating comparative summaries of contradictory opinions in text.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed February 26, 2020. http://hdl.handle.net/2142/14680.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kim, Hyun Duk. “Generating comparative summaries of contradictory opinions in text.” 2010. Web. 26 Feb 2020.

Vancouver:

Kim HD. Generating comparative summaries of contradictory opinions in text. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/2142/14680.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim HD. Generating comparative summaries of contradictory opinions in text. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14680

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Delaware

27. Ding, Ruoyao. Using text mining techniques to assist gene related annotation .

Degree: 2017, University of Delaware

URL: http://udspace.udel.edu/handle/19716/23159

► Biomedical researchers usually describe their experimental results in research publications. With the rapid growth of biomedical publications, the information of interest needs to be extracted… (more)

Subjects/Keywords: Applied sciences; Machine learning; NLP; Text mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ding, R. (2017). Using text mining techniques to assist gene related annotation . (Doctoral Dissertation). University of Delaware. Retrieved from http://udspace.udel.edu/handle/19716/23159

Chicago Manual of Style (16^th Edition):

Ding, Ruoyao. “Using text mining techniques to assist gene related annotation .” 2017. Doctoral Dissertation, University of Delaware. Accessed February 26, 2020. http://udspace.udel.edu/handle/19716/23159.

MLA Handbook (7^th Edition):

Ding, Ruoyao. “Using text mining techniques to assist gene related annotation .” 2017. Web. 26 Feb 2020.

Vancouver:

Ding R. Using text mining techniques to assist gene related annotation . [Internet] [Doctoral dissertation]. University of Delaware; 2017. [cited 2020 Feb 26]. Available from: http://udspace.udel.edu/handle/19716/23159.

Council of Science Editors:

Ding R. Using text mining techniques to assist gene related annotation . [Doctoral Dissertation]. University of Delaware; 2017. Available from: http://udspace.udel.edu/handle/19716/23159

NSYSU

28. Chang, Cheng-Jui. Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization.

Degree: Master, Information Management, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940

► This research proposes an approach to find the cuisines, the types of dishes, from the recipes, ingredients and methods of producing dishes. We believe that… (more)

Subjects/Keywords: clustering; network; recommendation; matrix factorization; text mining

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APA (6^th Edition):

Chang, C. (2017). Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chang, Cheng-Jui. “Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization.” 2017. Thesis, NSYSU. Accessed February 26, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chang, Cheng-Jui. “Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization.” 2017. Web. 26 Feb 2020.

Vancouver:

Chang C. Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Feb 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang C. Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Nairobi

29. Awuor, Yvette R. Automatic assessment of online discussions using text mining .

Degree: 2011, University of Nairobi

URL: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13773

► Online discussion forums have rapidly gained momentum in e-learning systems because of the rapid growth and ubiquitous Internet. Today, there exist enormous growth in online… (more)

Subjects/Keywords: Automatic assessment; Online discussions; Text mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Awuor, Y. R. (2011). Automatic assessment of online discussions using text mining . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13773

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Awuor, Yvette R. “Automatic assessment of online discussions using text mining .” 2011. Thesis, University of Nairobi. Accessed February 26, 2020. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13773.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Awuor, Yvette R. “Automatic assessment of online discussions using text mining .” 2011. Web. 26 Feb 2020.

Vancouver:

Awuor YR. Automatic assessment of online discussions using text mining . [Internet] [Thesis]. University of Nairobi; 2011. [cited 2020 Feb 26]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13773.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Awuor YR. Automatic assessment of online discussions using text mining . [Thesis]. University of Nairobi; 2011. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13773

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidade de Lisboa

30. Martins, Bruno. Geographically Aware Web Text Mining.

Degree: 2009, Universidade de Lisboa

URL: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14301

► Text mining and search have become important research areas over the past few years, mostly due to the large popularity of the Web. A natural… (more)

Subjects/Keywords: Geographic Information Retrieval; Web/Text Mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Martins, B. (2009). Geographically Aware Web Text Mining. (Thesis). Universidade de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14301

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Martins, Bruno. “Geographically Aware Web Text Mining.” 2009. Thesis, Universidade de Lisboa. Accessed February 26, 2020. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14301.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Martins, Bruno. “Geographically Aware Web Text Mining.” 2009. Web. 26 Feb 2020.

Vancouver:

Martins B. Geographically Aware Web Text Mining. [Internet] [Thesis]. Universidade de Lisboa; 2009. [cited 2020 Feb 26]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14301.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Martins B. Geographically Aware Web Text Mining. [Thesis]. Universidade de Lisboa; 2009. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14301

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Open Access Theses and Dissertations