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You searched for subject:(Text Mining). Showing records 1 – 30 of 778 total matches.

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Queens University

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

Degree: Computing, 2014, Queens University

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

APA (6th 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 (16th Edition):

Alsadhan, Nasser. “Inferring Systemic Functional Language Models .” 2014. Thesis, Queens University. Accessed February 27, 2021. 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 (7th Edition):

Alsadhan, Nasser. “Inferring Systemic Functional Language Models .” 2014. Web. 27 Feb 2021.

Vancouver:

Alsadhan N. Inferring Systemic Functional Language Models . [Internet] [Thesis]. Queens University; 2014. [cited 2021 Feb 27]. 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


Queensland University of Technology

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

Degree: 2013, Queensland University of Technology

 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)

Subjects/Keywords: text mining

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

APA (6th 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 (16th Edition):

Shen, Yan. “Personalized ontology learning for enhancing text mining effectiveness.” 2013. Thesis, Queensland University of Technology. Accessed February 27, 2021. 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 (7th Edition):

Shen, Yan. “Personalized ontology learning for enhancing text mining effectiveness.” 2013. Web. 27 Feb 2021.

Vancouver:

Shen Y. Personalized ontology learning for enhancing text mining effectiveness. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2021 Feb 27]. 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


Cornell University

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

Degree: PhD, Computer Science, 2011, Cornell University

 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 (6th Edition):

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

Chicago Manual of Style (16th Edition):

Haque, Asif-ul. “Information And Social System Interaction.” 2011. Doctoral Dissertation, Cornell University. Accessed February 27, 2021. http://hdl.handle.net/1813/30752.

MLA Handbook (7th Edition):

Haque, Asif-ul. “Information And Social System Interaction.” 2011. Web. 27 Feb 2021.

Vancouver:

Haque A. Information And Social System Interaction. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1813/30752.

Council of Science Editors:

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


Queens University

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

Degree: Computing, 2012, Queens University

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

APA (6th 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 (16th Edition):

Lamb, Carolyn. “Detecting Deception in Interrogation Settings .” 2012. Thesis, Queens University. Accessed February 27, 2021. 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 (7th Edition):

Lamb, Carolyn. “Detecting Deception in Interrogation Settings .” 2012. Web. 27 Feb 2021.

Vancouver:

Lamb C. Detecting Deception in Interrogation Settings . [Internet] [Thesis]. Queens University; 2012. [cited 2021 Feb 27]. 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

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

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

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

APA (6th 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 (16th Edition):

Xu, Jinyao. “A general tool for interactive analysis of opinions in reviews.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed February 27, 2021. 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 (7th Edition):

Xu, Jinyao. “A general tool for interactive analysis of opinions in reviews.” 2015. Web. 27 Feb 2021.

Vancouver:

Xu J. A general tool for interactive analysis of opinions in reviews. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Feb 27]. 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


NSYSU

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

Degree: Master, Information Management, 2016, NSYSU

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

APA (6th 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 (16th Edition):

Chen, Yu-ling. “The Research on the Detection of Noteworthy Symptom Descriptions.” 2016. Thesis, NSYSU. Accessed February 27, 2021. 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 (7th Edition):

Chen, Yu-ling. “The Research on the Detection of Noteworthy Symptom Descriptions.” 2016. Web. 27 Feb 2021.

Vancouver:

Chen Y. The Research on the Detection of Noteworthy Symptom Descriptions. [Internet] [Thesis]. NSYSU; 2016. [cited 2021 Feb 27]. 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


University of Georgia

7. Tarkhadkar, Sagar Santosh. Mutaimpact miner.

Degree: 2014, University of Georgia

 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; Natural Language Processing

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

APA (6th Edition):

Tarkhadkar, S. S. (2014). Mutaimpact miner. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/30031

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

Chicago Manual of Style (16th Edition):

Tarkhadkar, Sagar Santosh. “Mutaimpact miner.” 2014. Thesis, University of Georgia. Accessed February 27, 2021. http://hdl.handle.net/10724/30031.

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

MLA Handbook (7th Edition):

Tarkhadkar, Sagar Santosh. “Mutaimpact miner.” 2014. Web. 27 Feb 2021.

Vancouver:

Tarkhadkar SS. Mutaimpact miner. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10724/30031.

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

Council of Science Editors:

Tarkhadkar SS. Mutaimpact miner. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/30031

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


Penn State University

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

Degree: 2015, Penn State University

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Hu, Xiaocheng. “DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH.” 2015. Thesis, Penn State University. Accessed February 27, 2021. https://submit-etda.libraries.psu.edu/catalog/25731.

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

MLA Handbook (7th Edition):

Hu, Xiaocheng. “DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH.” 2015. Web. 27 Feb 2021.

Vancouver:

Hu X. DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Feb 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/25731.

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

Council of Science Editors:

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

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


Universidade Nova

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

Degree: 2013, Universidade Nova

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 (6th 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 (16th Edition):

Viana, Hugo Henrique Amorim. “Automatic information retrieval through text-mining.” 2013. Thesis, Universidade Nova. Accessed February 27, 2021. 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 (7th Edition):

Viana, Hugo Henrique Amorim. “Automatic information retrieval through text-mining.” 2013. Web. 27 Feb 2021.

Vancouver:

Viana HHA. Automatic information retrieval through text-mining. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2021 Feb 27]. 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


University of Manchester

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

Degree: PhD, 2012, University of Manchester

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

APA (6th 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 (16th 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 27, 2021. 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 (7th Edition):

Gerner, Lars Martin Anders. “Integrating text-mining approaches to identify entities and extract events from the biomedical literature.” 2012. Web. 27 Feb 2021.

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 2021 Feb 27]. 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


California State University – Sacramento

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

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

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

APA (6th 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 (16th Edition):

Balasubramanian, Sinduja. “Text mining on Amazon reviews to extract feature based feedback.” 2017. Masters Thesis, California State University – Sacramento. Accessed February 27, 2021. http://hdl.handle.net/10211.3/198628.

MLA Handbook (7th Edition):

Balasubramanian, Sinduja. “Text mining on Amazon reviews to extract feature based feedback.” 2017. Web. 27 Feb 2021.

Vancouver:

Balasubramanian S. Text mining on Amazon reviews to extract feature based feedback. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2021 Feb 27]. 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


University of Manchester

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

Degree: 2016, University of Manchester

 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)

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

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APA (6th 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 (16th 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 27, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:302324.

MLA Handbook (7th Edition):

Florez Vargas, Oscar Roberto. “DEVELOPMENT OF STRATEGIES FOR ASSESSING REPORTING IN BIOMEDICAL RESEARCH: MOVING TOWARD ENHANCING REPRODUCIBILITY.” 2016. Web. 27 Feb 2021.

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 2021 Feb 27]. 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


University of Texas – Austin

13. Yang, Yongpeng. Mining of identity theft stories to model and assess identity threat behaviors.

Degree: MSin Engineering, Electrical and Computer Engineering, 2014, University of Texas – Austin

 Identity theft is an ever-present and ever-growing issue in our society. Identity theft, fraud and abuse are present and growing in every market sector. The… (more)

Subjects/Keywords: Identity theft; Text mining

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

APA (6th Edition):

Yang, Y. (2014). Mining of identity theft stories to model and assess identity threat behaviors. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26008

Chicago Manual of Style (16th Edition):

Yang, Yongpeng. “Mining of identity theft stories to model and assess identity threat behaviors.” 2014. Masters Thesis, University of Texas – Austin. Accessed February 27, 2021. http://hdl.handle.net/2152/26008.

MLA Handbook (7th Edition):

Yang, Yongpeng. “Mining of identity theft stories to model and assess identity threat behaviors.” 2014. Web. 27 Feb 2021.

Vancouver:

Yang Y. Mining of identity theft stories to model and assess identity threat behaviors. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2152/26008.

Council of Science Editors:

Yang Y. Mining of identity theft stories to model and assess identity threat behaviors. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/26008


Iowa State University

14. Zhai, Shuang. Business analytics using machine learning and large-scale textual data: Three essays.

Degree: 2020, Iowa State University

 Natural Language Processing (NLP) techniques have been recognized as useful tools in various applications, such as language translation, stock price prediction, and semantic analysis. In… (more)

Subjects/Keywords: Business Analytics; Text Mining

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

APA (6th Edition):

Zhai, S. (2020). Business analytics using machine learning and large-scale textual data: Three essays. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/18255

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

Chicago Manual of Style (16th Edition):

Zhai, Shuang. “Business analytics using machine learning and large-scale textual data: Three essays.” 2020. Thesis, Iowa State University. Accessed February 27, 2021. https://lib.dr.iastate.edu/etd/18255.

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

MLA Handbook (7th Edition):

Zhai, Shuang. “Business analytics using machine learning and large-scale textual data: Three essays.” 2020. Web. 27 Feb 2021.

Vancouver:

Zhai S. Business analytics using machine learning and large-scale textual data: Three essays. [Internet] [Thesis]. Iowa State University; 2020. [cited 2021 Feb 27]. Available from: https://lib.dr.iastate.edu/etd/18255.

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

Council of Science Editors:

Zhai S. Business analytics using machine learning and large-scale textual data: Three essays. [Thesis]. Iowa State University; 2020. Available from: https://lib.dr.iastate.edu/etd/18255

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


University of Aberdeen

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

Degree: PhD, 2019, University of Aberdeen

 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: 004; Text data mining; Probabilities

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

APA (6th Edition):

Barawi, M. H. (2019). Automatic topic labelling and opinion summarisation. (Doctoral Dissertation). University of Aberdeen. Retrieved from https://abdn.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12153054170005941 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794105

Chicago Manual of Style (16th Edition):

Barawi, Mohamad Hardyman. “Automatic topic labelling and opinion summarisation.” 2019. Doctoral Dissertation, University of Aberdeen. Accessed February 27, 2021. https://abdn.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12153054170005941 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794105.

MLA Handbook (7th Edition):

Barawi, Mohamad Hardyman. “Automatic topic labelling and opinion summarisation.” 2019. Web. 27 Feb 2021.

Vancouver:

Barawi MH. Automatic topic labelling and opinion summarisation. [Internet] [Doctoral dissertation]. University of Aberdeen; 2019. [cited 2021 Feb 27]. Available from: https://abdn.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12153054170005941 ; 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: https://abdn.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12153054170005941 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794105


University of Sydney

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

Degree: 2013, University of Sydney

 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)

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

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APA (6th 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 (16th Edition):

Southavilay, Vilaythong. “A Data Mining Toolbox for Collaborative Writing Processes .” 2013. Thesis, University of Sydney. Accessed February 27, 2021. 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 (7th Edition):

Southavilay, Vilaythong. “A Data Mining Toolbox for Collaborative Writing Processes .” 2013. Web. 27 Feb 2021.

Vancouver:

Southavilay V. A Data Mining Toolbox for Collaborative Writing Processes . [Internet] [Thesis]. University of Sydney; 2013. [cited 2021 Feb 27]. 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

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

Degree: PhD, 2011, University of Cambridge

 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 (6th 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 (16th Edition):

Jessop, David M. “Information extraction from chemical patents.” 2011. Doctoral Dissertation, University of Cambridge. Accessed February 27, 2021. 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 (7th Edition):

Jessop, David M. “Information extraction from chemical patents.” 2011. Web. 27 Feb 2021.

Vancouver:

Jessop DM. Information extraction from chemical patents. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2021 Feb 27]. 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

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

Degree: Computer and Information Science, 2011, Linköping University

  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 (6th 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 (16th Edition):

Benis, Nirupama. “Corpus construction based on Ontological domain knowledge.” 2011. Thesis, Linköping University. Accessed February 27, 2021. 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 (7th Edition):

Benis, Nirupama. “Corpus construction based on Ontological domain knowledge.” 2011. Web. 27 Feb 2021.

Vancouver:

Benis N. Corpus construction based on Ontological domain knowledge. [Internet] [Thesis]. Linköping University; 2011. [cited 2021 Feb 27]. 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

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

Degree: PhD, 2012, University of Cambridge

 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)

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 (6th 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 (16th Edition):

Lowe, Daniel Mark. “Extraction of chemical structures and reactions from the literature.” 2012. Doctoral Dissertation, University of Cambridge. Accessed February 27, 2021. 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 (7th Edition):

Lowe, Daniel Mark. “Extraction of chemical structures and reactions from the literature.” 2012. Web. 27 Feb 2021.

Vancouver:

Lowe DM. Extraction of chemical structures and reactions from the literature. [Internet] [Doctoral dissertation]. University of Cambridge; 2012. [cited 2021 Feb 27]. 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

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

Degree: 2015, Queensland University of Technology

 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 (6th 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 (16th Edition):

Albathan, Mubarak Murdi M. “Enhancement of relevant features for text mining.” 2015. Thesis, Queensland University of Technology. Accessed February 27, 2021. 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 (7th Edition):

Albathan, Mubarak Murdi M. “Enhancement of relevant features for text mining.” 2015. Web. 27 Feb 2021.

Vancouver:

Albathan MMM. Enhancement of relevant features for text mining. [Internet] [Thesis]. Queensland University of Technology; 2015. [cited 2021 Feb 27]. 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


Open Universiteit Nederland

21. van Rouwendal, J. (Jan). Tekst en association rule mining voor detecteren van workarounds in vrije tekst die gestructureerde data-invoer omzeilen.

Degree: Master, Department of Information Science, 2020, Open Universiteit Nederland

 Veel informatiesystemen hebben functionele beperkingen om structurele data in te voeren en gebruikers kunnen dit omzeilen door vrije tekst in het informatiesysteem te gebruiken als… (more)

Subjects/Keywords: shadow-IT; workarounds; tekstmining; text mining; association rule mining; resilience mining

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

APA (6th Edition):

van Rouwendal, J. (. (2020). Tekst en association rule mining voor detecteren van workarounds in vrije tekst die gestructureerde data-invoer omzeilen. (Masters Thesis). Open Universiteit Nederland. Retrieved from http://hdl.handle.net/1820/81ed7548-0b4c-4a95-8ad2-5aa6a0c97375

Chicago Manual of Style (16th Edition):

van Rouwendal, J (Jan). “Tekst en association rule mining voor detecteren van workarounds in vrije tekst die gestructureerde data-invoer omzeilen.” 2020. Masters Thesis, Open Universiteit Nederland. Accessed February 27, 2021. http://hdl.handle.net/1820/81ed7548-0b4c-4a95-8ad2-5aa6a0c97375.

MLA Handbook (7th Edition):

van Rouwendal, J (Jan). “Tekst en association rule mining voor detecteren van workarounds in vrije tekst die gestructureerde data-invoer omzeilen.” 2020. Web. 27 Feb 2021.

Vancouver:

van Rouwendal J(. Tekst en association rule mining voor detecteren van workarounds in vrije tekst die gestructureerde data-invoer omzeilen. [Internet] [Masters thesis]. Open Universiteit Nederland; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1820/81ed7548-0b4c-4a95-8ad2-5aa6a0c97375.

Council of Science Editors:

van Rouwendal J(. Tekst en association rule mining voor detecteren van workarounds in vrije tekst die gestructureerde data-invoer omzeilen. [Masters Thesis]. Open Universiteit Nederland; 2020. Available from: http://hdl.handle.net/1820/81ed7548-0b4c-4a95-8ad2-5aa6a0c97375


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

 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 (6th 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 (16th 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 27, 2021. https://scholar.uwindsor.ca/etd/5728.

MLA Handbook (7th Edition):

Ejieh, Chukwuma. “ASPECT-BASED OPINION MINING OF PRODUCT REVIEWS IN MICROBLOGS USING MOST RELEVANT FREQUENT CLUSTERS OF TERMS.” 2016. Web. 27 Feb 2021.

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 2021 Feb 27]. 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


University of Vienna

23. Wilfinger, Lukas. Möglichkeiten zur Lokalisation von Standorten anhand von quantitativen Entfernungsangaben in Texten mittels Textmining am Beispiel Airbnb.

Degree: 2019, University of Vienna

Innerhalb von textuellen Daten gibt es ein Potenzial zur Gewinnung räumlicher Information. Dies kann helfen Personen aufgrund deren relativen Entfernungsangaben zu lokalisieren, ohne dassdabei eine… (more)

Subjects/Keywords: 54.82 Textverarbeitung; 74.48 Geoinformationssysteme; Data Mining / GIS / Text Mining / Airbnb / Geoparsing; Data Mining / GIS / Text Mining / Airbnb / Geoparsing

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APA (6th Edition):

Wilfinger, L. (2019). Möglichkeiten zur Lokalisation von Standorten anhand von quantitativen Entfernungsangaben in Texten mittels Textmining am Beispiel Airbnb. (Thesis). University of Vienna. Retrieved from http://othes.univie.ac.at/59559/

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

Chicago Manual of Style (16th Edition):

Wilfinger, Lukas. “Möglichkeiten zur Lokalisation von Standorten anhand von quantitativen Entfernungsangaben in Texten mittels Textmining am Beispiel Airbnb.” 2019. Thesis, University of Vienna. Accessed February 27, 2021. http://othes.univie.ac.at/59559/.

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

MLA Handbook (7th Edition):

Wilfinger, Lukas. “Möglichkeiten zur Lokalisation von Standorten anhand von quantitativen Entfernungsangaben in Texten mittels Textmining am Beispiel Airbnb.” 2019. Web. 27 Feb 2021.

Vancouver:

Wilfinger L. Möglichkeiten zur Lokalisation von Standorten anhand von quantitativen Entfernungsangaben in Texten mittels Textmining am Beispiel Airbnb. [Internet] [Thesis]. University of Vienna; 2019. [cited 2021 Feb 27]. Available from: http://othes.univie.ac.at/59559/.

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

Council of Science Editors:

Wilfinger L. Möglichkeiten zur Lokalisation von Standorten anhand von quantitativen Entfernungsangaben in Texten mittels Textmining am Beispiel Airbnb. [Thesis]. University of Vienna; 2019. Available from: http://othes.univie.ac.at/59559/

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


Universidade de Lisboa

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

Degree: 2009, Universidade de Lisboa

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 (6th 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 (16th Edition):

Martins, Bruno. “Geographically Aware Web Text Mining.” 2009. Thesis, Universidade de Lisboa. Accessed February 27, 2021. 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 (7th Edition):

Martins, Bruno. “Geographically Aware Web Text Mining.” 2009. Web. 27 Feb 2021.

Vancouver:

Martins B. Geographically Aware Web Text Mining. [Internet] [Thesis]. Universidade de Lisboa; 2009. [cited 2021 Feb 27]. 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


NSYSU

25. Li, Jih-Pin. Explore Internet Users in Taiwan Neighbors Emotion.

Degree: Master, Information Management, 2014, NSYSU

 Traditional political science research usually adopts random sampling to choose a number of subjects and inquires their opinions towards certain issues. The result is then… (more)

Subjects/Keywords: LDA; political science; sentiment analysis; text mining

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

APA (6th Edition):

Li, J. (2014). Explore Internet Users in Taiwan Neighbors Emotion. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614114-062227

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

Chicago Manual of Style (16th Edition):

Li, Jih-Pin. “Explore Internet Users in Taiwan Neighbors Emotion.” 2014. Thesis, NSYSU. Accessed February 27, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614114-062227.

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

MLA Handbook (7th Edition):

Li, Jih-Pin. “Explore Internet Users in Taiwan Neighbors Emotion.” 2014. Web. 27 Feb 2021.

Vancouver:

Li J. Explore Internet Users in Taiwan Neighbors Emotion. [Internet] [Thesis]. NSYSU; 2014. [cited 2021 Feb 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614114-062227.

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

Council of Science Editors:

Li J. Explore Internet Users in Taiwan Neighbors Emotion. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614114-062227

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


Dalhousie University

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

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

 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)

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

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

APA (6th 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 (16th Edition):

Hu, Yeming. “Document Clustering with Dual Supervision.” 2012. Doctoral Dissertation, Dalhousie University. Accessed February 27, 2021. http://hdl.handle.net/10222/15056.

MLA Handbook (7th Edition):

Hu, Yeming. “Document Clustering with Dual Supervision.” 2012. Web. 27 Feb 2021.

Vancouver:

Hu Y. Document Clustering with Dual Supervision. [Internet] [Doctoral dissertation]. Dalhousie University; 2012. [cited 2021 Feb 27]. 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

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

Degree: 2009, University of Edinburgh

 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)

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 (6th 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 (16th Edition):

Edwards, Stephen. “MilkMine: text-mining, milk proteins and hypothesis generation.” 2009. Thesis, University of Edinburgh. Accessed February 27, 2021. 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 (7th Edition):

Edwards, Stephen. “MilkMine: text-mining, milk proteins and hypothesis generation.” 2009. Web. 27 Feb 2021.

Vancouver:

Edwards S. MilkMine: text-mining, milk proteins and hypothesis generation. [Internet] [Thesis]. University of Edinburgh; 2009. [cited 2021 Feb 27]. 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


University of Manchester

28. Karystianis, George. Extraction and representation of key characteristics from epidemiological literature.

Degree: 2014, University of Manchester

 Epidemiological studies are rich in information that could improve the understanding of concept complexity of a health problem, and are important sources for evidence based… (more)

Subjects/Keywords: text mining; epidemiology; concept map; key characteristics

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

APA (6th Edition):

Karystianis, G. (2014). Extraction and representation of key characteristics from epidemiological literature. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:220558

Chicago Manual of Style (16th Edition):

Karystianis, George. “Extraction and representation of key characteristics from epidemiological literature.” 2014. Doctoral Dissertation, University of Manchester. Accessed February 27, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:220558.

MLA Handbook (7th Edition):

Karystianis, George. “Extraction and representation of key characteristics from epidemiological literature.” 2014. Web. 27 Feb 2021.

Vancouver:

Karystianis G. Extraction and representation of key characteristics from epidemiological literature. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2021 Feb 27]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:220558.

Council of Science Editors:

Karystianis G. Extraction and representation of key characteristics from epidemiological literature. [Doctoral Dissertation]. University of Manchester; 2014. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:220558


Penn State University

29. Chen, Bi. Topic Oriented Evolution and Sentiment Analysis.

Degree: 2011, Penn State University

 Topic modeling techniques help people to understand what is talking about in a corpus, and dramatically improve human’s work on academic or business productivity. Although… (more)

Subjects/Keywords: text mining; topic modeling; sentiment analysis

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

APA (6th Edition):

Chen, B. (2011). Topic Oriented Evolution and Sentiment Analysis. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11743

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

Chicago Manual of Style (16th Edition):

Chen, Bi. “Topic Oriented Evolution and Sentiment Analysis.” 2011. Thesis, Penn State University. Accessed February 27, 2021. https://submit-etda.libraries.psu.edu/catalog/11743.

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

MLA Handbook (7th Edition):

Chen, Bi. “Topic Oriented Evolution and Sentiment Analysis.” 2011. Web. 27 Feb 2021.

Vancouver:

Chen B. Topic Oriented Evolution and Sentiment Analysis. [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Feb 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/11743.

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

Council of Science Editors:

Chen B. Topic Oriented Evolution and Sentiment Analysis. [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11743

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


NSYSU

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

Degree: Master, Information Management, 2017, NSYSU

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

APA (6th 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 (16th Edition):

Chang, Cheng-Jui. “Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization.” 2017. Thesis, NSYSU. Accessed February 27, 2021. 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 (7th Edition):

Chang, Cheng-Jui. “Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization.” 2017. Web. 27 Feb 2021.

Vancouver:

Chang C. Cuisine Discovery based on Recipe-Ingredient Network and Matrix Factorization. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Feb 27]. 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

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