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Queens University
1. Alsadhan, Nasser. Inferring Systemic Functional Language Models .
Degree: Computing, 2014, Queens University
URL: http://hdl.handle.net/1974/12396
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
URL: https://eprints.qut.edu.au/63699/
Subjects/Keywords: text mining
Record Details
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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
URL: http://hdl.handle.net/1813/30752
Subjects/Keywords: data mining; networks; text mining
Record Details
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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
URL: http://hdl.handle.net/1974/7695
Subjects/Keywords: Data Mining ; Deception ; Text Mining
Record Details
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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
URL: http://hdl.handle.net/2142/78669
Subjects/Keywords: Text Mining; Reviews
Record Details
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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
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0306116-140216
Subjects/Keywords: Text mining; CKIP; LIBSVM; Classification
Record Details
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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
URL: http://hdl.handle.net/10724/30031
Subjects/Keywords: text mining; Natural Language Processing
Record Details
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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
URL: https://submit-etda.libraries.psu.edu/catalog/25731
Subjects/Keywords: data mining; text analysis; Perl
Record Details
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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
URL: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11308
Subjects/Keywords: Text-mining; Stemmer; Clustering; Lucene
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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
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
Subjects/Keywords: 006.312; Biomedical text mining
Record Details
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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
URL: http://hdl.handle.net/10211.3/198628
Subjects/Keywords: NLP; Text mining; Feature extraction
Record Details
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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
URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:302324
Subjects/Keywords: Reproducibility; Checklists; Text Mining; Biomedicine
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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
URL: http://hdl.handle.net/2152/26008
Subjects/Keywords: Identity theft; Text mining
Record Details
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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
URL: https://lib.dr.iastate.edu/etd/18255
Subjects/Keywords: Business Analytics; Text Mining
Record Details
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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
URL: https://abdn.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12153054170005941
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794105
Subjects/Keywords: 004; Text data mining; Probabilities
Record Details
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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
URL: http://hdl.handle.net/2123/9764
Subjects/Keywords: process mining; text mining; collaborative writing
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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
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
Subjects/Keywords: information extraction; text mining; chemical patents; patents; chemical text mining; PatentEye
Record Details
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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
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71851
Subjects/Keywords: Text mining; Biomedical text mining; Natural Language Processing
Record Details
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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
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
Subjects/Keywords: Name to structure; OPSIN; Chemical text mining; Text mining; Patent reaction extraction; Reaction mining; Patents
Record Details
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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
URL: https://eprints.qut.edu.au/90072/
Subjects/Keywords: Text Mining; Feature Selection; Information retrieval; Data Mining; pattern mining
Record Details
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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
URL: http://hdl.handle.net/1820/81ed7548-0b4c-4a95-8ad2-5aa6a0c97375
Subjects/Keywords: shadow-IT; workarounds; tekstmining; text mining; association rule mining; resilience mining
Record Details
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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
URL: https://scholar.uwindsor.ca/etd/5728
Subjects/Keywords: Aspect-based Opinion Mining; Data Mining; Machine Learning; Microblogs; Opinion Mining; Text Mining
Record Details
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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
URL: http://othes.univie.ac.at/59559/
Subjects/Keywords: 54.82 Textverarbeitung; 74.48 Geoinformationssysteme; Data Mining / GIS / Text Mining / Airbnb / Geoparsing; Data Mining / GIS / Text Mining / Airbnb / Geoparsing
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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
URL: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/14301
Subjects/Keywords: Geographic Information Retrieval; Web/Text Mining
Record Details
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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
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614114-062227
Subjects/Keywords: LDA; political science; sentiment analysis; text mining
Record Details
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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
URL: http://hdl.handle.net/10222/15056
Subjects/Keywords: Document Management; Text Mining; Machine Learning
Record Details
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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
URL: http://hdl.handle.net/1842/3869
Subjects/Keywords: text-mining; informatics; milk protein; milk peptide
Record Details
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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
URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:220558
Subjects/Keywords: text mining; epidemiology; concept map; key characteristics
Record Details
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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
URL: https://submit-etda.libraries.psu.edu/catalog/11743
Subjects/Keywords: text mining; topic modeling; sentiment analysis
Record Details
Similar Records
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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
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812117-134940
Subjects/Keywords: clustering; network; recommendation; matrix factorization; text mining
Record Details
Similar Records
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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