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You searched for subject:( Topic Model). Showing records 1 – 30 of 86 total matches.

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NSYSU

1. Hsu, Tou-Hsiang. A Research On Cross-Lingual Topic Analysis.

Degree: Master, Information Management, 2018, NSYSU

 Most of cross-lingual topic models in the previous work rely on the parallel or comparable corpus. The polylingual topic model (PLTM) proposed by Mimno et… (more)

Subjects/Keywords: Cross-lingual topic model; Topic modeling; Polylingual topic model; Parallel corpus; word vector space; LDA

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

APA (6th Edition):

Hsu, T. (2018). A Research On Cross-Lingual Topic Analysis. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624118-155432

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):

Hsu, Tou-Hsiang. “A Research On Cross-Lingual Topic Analysis.” 2018. Thesis, NSYSU. Accessed November 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624118-155432.

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

MLA Handbook (7th Edition):

Hsu, Tou-Hsiang. “A Research On Cross-Lingual Topic Analysis.” 2018. Web. 22 Nov 2019.

Vancouver:

Hsu T. A Research On Cross-Lingual Topic Analysis. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Nov 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624118-155432.

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

Council of Science Editors:

Hsu T. A Research On Cross-Lingual Topic Analysis. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624118-155432

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


NSYSU

2. Yang, Wan-Chen. Topic Evolution Discovery based on Regularized Matrix Factorization.

Degree: Master, Information Management, 2018, NSYSU

 In this thesis, we propose Hierarchical Non-negative Matrix Factorization(hNMF) to discover the hierarchical correlation among topics. The topics in lower layers are more concrete, whereas… (more)

Subjects/Keywords: Topic model; Hierarchical model; Non-negative matrix factorization; Hierarchical Non-negative matrix factorization; Topic classification; Topic evolution discovery; Multi-layer topic

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APA (6th Edition):

Yang, W. (2018). Topic Evolution Discovery based on Regularized Matrix Factorization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310

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):

Yang, Wan-Chen. “Topic Evolution Discovery based on Regularized Matrix Factorization.” 2018. Thesis, NSYSU. Accessed November 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310.

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

MLA Handbook (7th Edition):

Yang, Wan-Chen. “Topic Evolution Discovery based on Regularized Matrix Factorization.” 2018. Web. 22 Nov 2019.

Vancouver:

Yang W. Topic Evolution Discovery based on Regularized Matrix Factorization. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Nov 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310.

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

Council of Science Editors:

Yang W. Topic Evolution Discovery based on Regularized Matrix Factorization. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310

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


NSYSU

3. Hung, Chung-yang. An Approach to eBook Topics Trend Discovery Based on LDA and Usage Log.

Degree: Master, Information Management, 2012, NSYSU

 With the growth of digital content industry, publishers start to provide online services for ebook search, reading and downloading. Users can access to online resources… (more)

Subjects/Keywords: LDA; Topic Model; Topic; Usage Log; Ebook; LCC; LCSH

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

APA (6th Edition):

Hung, C. (2012). An Approach to eBook Topics Trend Discovery Based on LDA and Usage Log. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0213112-123624

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):

Hung, Chung-yang. “An Approach to eBook Topics Trend Discovery Based on LDA and Usage Log.” 2012. Thesis, NSYSU. Accessed November 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0213112-123624.

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

MLA Handbook (7th Edition):

Hung, Chung-yang. “An Approach to eBook Topics Trend Discovery Based on LDA and Usage Log.” 2012. Web. 22 Nov 2019.

Vancouver:

Hung C. An Approach to eBook Topics Trend Discovery Based on LDA and Usage Log. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 Nov 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0213112-123624.

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

Council of Science Editors:

Hung C. An Approach to eBook Topics Trend Discovery Based on LDA and Usage Log. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0213112-123624

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


UCLA

4. Cha, Young Chul. Probabilistic Topic Models for Graph Mining.

Degree: Computer Science, 2014, UCLA

 In this research, we extend probabilistic topic models, originally developed for a textual corpus analysis, to analyze a more general graph. Especially, we extend them… (more)

Subjects/Keywords: Computer science; graph analysis; popularity bias; topic model; topic propagation

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APA (6th Edition):

Cha, Y. C. (2014). Probabilistic Topic Models for Graph Mining. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/7ss082g1

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):

Cha, Young Chul. “Probabilistic Topic Models for Graph Mining.” 2014. Thesis, UCLA. Accessed November 22, 2019. http://www.escholarship.org/uc/item/7ss082g1.

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

MLA Handbook (7th Edition):

Cha, Young Chul. “Probabilistic Topic Models for Graph Mining.” 2014. Web. 22 Nov 2019.

Vancouver:

Cha YC. Probabilistic Topic Models for Graph Mining. [Internet] [Thesis]. UCLA; 2014. [cited 2019 Nov 22]. Available from: http://www.escholarship.org/uc/item/7ss082g1.

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

Council of Science Editors:

Cha YC. Probabilistic Topic Models for Graph Mining. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/7ss082g1

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


KTH

5. Zhang, Kerry. Viewpoint and Topic Modeling of Current Events.

Degree: Computer Science and Communication (CSC), 2016, KTH

There are multiple sides to every story, and while statistical topic models have been highly successful at topically summarizing the stories in corpora of… (more)

Subjects/Keywords: viewpoint topic model; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Zhang, K. (2016). Viewpoint and Topic Modeling of Current Events. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190083

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):

Zhang, Kerry. “Viewpoint and Topic Modeling of Current Events.” 2016. Thesis, KTH. Accessed November 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190083.

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

MLA Handbook (7th Edition):

Zhang, Kerry. “Viewpoint and Topic Modeling of Current Events.” 2016. Web. 22 Nov 2019.

Vancouver:

Zhang K. Viewpoint and Topic Modeling of Current Events. [Internet] [Thesis]. KTH; 2016. [cited 2019 Nov 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190083.

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

Council of Science Editors:

Zhang K. Viewpoint and Topic Modeling of Current Events. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190083

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


Humboldt University of Berlin

6. Bau, Jérôme. Probabilistic Topic Models in Natural Language Processing.

Degree: 2017, Humboldt University of Berlin

In Machine Learning dienen topic models der Entdeckung abstrakter Strukturen in großen Textsammlungen. Ich präsentiere eine zugeschnittene Auswahl von Konzepten aus den Gebieten Informationstheorie und… (more)

Subjects/Keywords: Wirtschaft; text mining; Topic models; text mining; Latent Dirichlet Allocation; Dynamic Topic Model; Vektorraum-Retrieval; Topic models; Latent Dirichlet Allocation; Dynamic Topic Model; Vector Space Model; ddc:330

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

APA (6th Edition):

Bau, J. (2017). Probabilistic Topic Models in Natural Language Processing. (Masters Thesis). Humboldt University of Berlin. Retrieved from http://edoc.hu-berlin.de/docviews/abstract.php?id=43122 ; http://edoc.hu-berlin.de/master/bau-jerome-2016-11-22/PDF/bau.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242955

Chicago Manual of Style (16th Edition):

Bau, Jérôme. “Probabilistic Topic Models in Natural Language Processing.” 2017. Masters Thesis, Humboldt University of Berlin. Accessed November 22, 2019. http://edoc.hu-berlin.de/docviews/abstract.php?id=43122 ; http://edoc.hu-berlin.de/master/bau-jerome-2016-11-22/PDF/bau.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242955.

MLA Handbook (7th Edition):

Bau, Jérôme. “Probabilistic Topic Models in Natural Language Processing.” 2017. Web. 22 Nov 2019.

Vancouver:

Bau J. Probabilistic Topic Models in Natural Language Processing. [Internet] [Masters thesis]. Humboldt University of Berlin; 2017. [cited 2019 Nov 22]. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=43122 ; http://edoc.hu-berlin.de/master/bau-jerome-2016-11-22/PDF/bau.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242955.

Council of Science Editors:

Bau J. Probabilistic Topic Models in Natural Language Processing. [Masters Thesis]. Humboldt University of Berlin; 2017. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=43122 ; http://edoc.hu-berlin.de/master/bau-jerome-2016-11-22/PDF/bau.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242955


University of Illinois – Chicago

7. Wang, Jing. Two Applications of Topic Models.

Degree: 2015, University of Illinois – Chicago

Topic modeling algorithms promise to uncover the underlying semantics of large collections of documents, serving as an effective tool to help discover online knowledge. In… (more)

Subjects/Keywords: topic modeling algorithm; Latent Dirichlet Allocation; diversionary comments; word sense induction; sense-topic model

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APA (6th Edition):

Wang, J. (2015). Two Applications of Topic Models. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/19667

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):

Wang, Jing. “Two Applications of Topic Models.” 2015. Thesis, University of Illinois – Chicago. Accessed November 22, 2019. http://hdl.handle.net/10027/19667.

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

MLA Handbook (7th Edition):

Wang, Jing. “Two Applications of Topic Models.” 2015. Web. 22 Nov 2019.

Vancouver:

Wang J. Two Applications of Topic Models. [Internet] [Thesis]. University of Illinois – Chicago; 2015. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10027/19667.

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

Council of Science Editors:

Wang J. Two Applications of Topic Models. [Thesis]. University of Illinois – Chicago; 2015. Available from: http://hdl.handle.net/10027/19667

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


University of Washington

8. Roday, Ethan. Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates.

Degree: 2017, University of Washington

 Polarization in American politics is at its highest levels in recent history. This polarization can be observed not only in the behaviors of citizens and… (more)

Subjects/Keywords: debate; framing; polarization; politics; topic model evaluation; topic modeling; Linguistics; Computer science; Political science; Linguistics

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APA (6th Edition):

Roday, E. (2017). Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/38652

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):

Roday, Ethan. “Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates.” 2017. Thesis, University of Washington. Accessed November 22, 2019. http://hdl.handle.net/1773/38652.

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

MLA Handbook (7th Edition):

Roday, Ethan. “Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates.” 2017. Web. 22 Nov 2019.

Vancouver:

Roday E. Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates. [Internet] [Thesis]. University of Washington; 2017. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1773/38652.

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

Council of Science Editors:

Roday E. Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates. [Thesis]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/38652

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


University of Ontario Institute of Technology

9. Aghababaei, Somayyeh. A temporal topic model for social trend prediction.

Degree: 2017, University of Ontario Institute of Technology

 Social media provides increasing opportunities for users to voluntarily share their thoughts and concerns in a large volume of data. While user-generated data from each… (more)

Subjects/Keywords: Topic model; Social trend prediction; Twitter data; Content-based model

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

APA (6th Edition):

Aghababaei, S. (2017). A temporal topic model for social trend prediction. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/841

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):

Aghababaei, Somayyeh. “A temporal topic model for social trend prediction.” 2017. Thesis, University of Ontario Institute of Technology. Accessed November 22, 2019. http://hdl.handle.net/10155/841.

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

MLA Handbook (7th Edition):

Aghababaei, Somayyeh. “A temporal topic model for social trend prediction.” 2017. Web. 22 Nov 2019.

Vancouver:

Aghababaei S. A temporal topic model for social trend prediction. [Internet] [Thesis]. University of Ontario Institute of Technology; 2017. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10155/841.

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

Council of Science Editors:

Aghababaei S. A temporal topic model for social trend prediction. [Thesis]. University of Ontario Institute of Technology; 2017. Available from: http://hdl.handle.net/10155/841

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


University of Exeter

10. Chenghua, Lin. Probabilistic topic models for sentiment analysis on the Web.

Degree: PhD, 2011, University of Exeter

 Sentiment analysis aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text, and has received a rapid… (more)

Subjects/Keywords: 004.01; sentiment analysis : opinion mining : subjectivity detection : joint sentiment-topic model : latent Dirichlet allocation : topic model

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

APA (6th Edition):

Chenghua, L. (2011). Probabilistic topic models for sentiment analysis on the Web. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10036/3307

Chicago Manual of Style (16th Edition):

Chenghua, Lin. “Probabilistic topic models for sentiment analysis on the Web.” 2011. Doctoral Dissertation, University of Exeter. Accessed November 22, 2019. http://hdl.handle.net/10036/3307.

MLA Handbook (7th Edition):

Chenghua, Lin. “Probabilistic topic models for sentiment analysis on the Web.” 2011. Web. 22 Nov 2019.

Vancouver:

Chenghua L. Probabilistic topic models for sentiment analysis on the Web. [Internet] [Doctoral dissertation]. University of Exeter; 2011. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10036/3307.

Council of Science Editors:

Chenghua L. Probabilistic topic models for sentiment analysis on the Web. [Doctoral Dissertation]. University of Exeter; 2011. Available from: http://hdl.handle.net/10036/3307


NSYSU

11. Huang, Yao-qing. LDA-Based Personalized recommendation for Airbnb.

Degree: Master, Information Management, 2017, NSYSU

 Airbnb is one of the most successful sharing economy platforms in the hospitality industry. Although the availability of large-scale reviews can be beneficial but it… (more)

Subjects/Keywords: Airbnb; Recommender system; Text mining; LDA; Topic model

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

APA (6th Edition):

Huang, Y. (2017). LDA-Based Personalized recommendation for Airbnb. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0621117-124624

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):

Huang, Yao-qing. “LDA-Based Personalized recommendation for Airbnb.” 2017. Thesis, NSYSU. Accessed November 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0621117-124624.

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

MLA Handbook (7th Edition):

Huang, Yao-qing. “LDA-Based Personalized recommendation for Airbnb.” 2017. Web. 22 Nov 2019.

Vancouver:

Huang Y. LDA-Based Personalized recommendation for Airbnb. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Nov 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0621117-124624.

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

Council of Science Editors:

Huang Y. LDA-Based Personalized recommendation for Airbnb. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0621117-124624

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


Texas A&M University

12. Sunder, Gowrishankar. Error Correction Using Probabilistic Language Models.

Degree: 2015, Texas A&M University

 Error Correction has applications in a variety of domains given the prevalence of errors of various kinds and the need to programmatically correct them as… (more)

Subjects/Keywords: Error Correction; Natural Language Processing; LDA; Topic Model; n-gram

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APA (6th Edition):

Sunder, G. (2015). Error Correction Using Probabilistic Language Models. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155125

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):

Sunder, Gowrishankar. “Error Correction Using Probabilistic Language Models.” 2015. Thesis, Texas A&M University. Accessed November 22, 2019. http://hdl.handle.net/1969.1/155125.

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

MLA Handbook (7th Edition):

Sunder, Gowrishankar. “Error Correction Using Probabilistic Language Models.” 2015. Web. 22 Nov 2019.

Vancouver:

Sunder G. Error Correction Using Probabilistic Language Models. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1969.1/155125.

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

Council of Science Editors:

Sunder G. Error Correction Using Probabilistic Language Models. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155125

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


KTH

13. Pertoft, John. Image Dating, a Case Study to Evaluate the Inter-Battery Topic Model.

Degree: Computer Science and Communication (CSC), 2016, KTH

The Inter-Battery Topic Model (IBTM) is an extension of the well known Latent Dirichlet Allocation (LDA) topic model. It gives a factorized representation of… (more)

Subjects/Keywords: topic model; image dating; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Pertoft, J. (2016). Image Dating, a Case Study to Evaluate the Inter-Battery Topic Model. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190927

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):

Pertoft, John. “Image Dating, a Case Study to Evaluate the Inter-Battery Topic Model.” 2016. Thesis, KTH. Accessed November 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190927.

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

MLA Handbook (7th Edition):

Pertoft, John. “Image Dating, a Case Study to Evaluate the Inter-Battery Topic Model.” 2016. Web. 22 Nov 2019.

Vancouver:

Pertoft J. Image Dating, a Case Study to Evaluate the Inter-Battery Topic Model. [Internet] [Thesis]. KTH; 2016. [cited 2019 Nov 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190927.

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

Council of Science Editors:

Pertoft J. Image Dating, a Case Study to Evaluate the Inter-Battery Topic Model. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190927

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


NSYSU

14. Chen , Yu-Siang. Integrating Topic Model into Co-authorship Network for Recommending Academic Literature.

Degree: Master, Information Management, 2014, NSYSU

 Most literature database systems use content-based technique to retrieve articles to users. However, the content-based technique relies on exact keywords provided by users to search… (more)

Subjects/Keywords: recommender system; topic model; latent Dirichlet allocation; coauthorship network; academic literature

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APA (6th Edition):

Chen , Y. (2014). Integrating Topic Model into Co-authorship Network for Recommending Academic Literature. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526114-172606

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-Siang. “Integrating Topic Model into Co-authorship Network for Recommending Academic Literature.” 2014. Thesis, NSYSU. Accessed November 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526114-172606.

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-Siang. “Integrating Topic Model into Co-authorship Network for Recommending Academic Literature.” 2014. Web. 22 Nov 2019.

Vancouver:

Chen Y. Integrating Topic Model into Co-authorship Network for Recommending Academic Literature. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Nov 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526114-172606.

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. Integrating Topic Model into Co-authorship Network for Recommending Academic Literature. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526114-172606

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


NSYSU

15. Sun, Ting-Chang. The Study of Competence and Job Classification in Data Science Industry.

Degree: Master, Business Management, 2016, NSYSU

 In recent years, with the rise of big data, as well as continued progress in information technology, data science has gradually become prominent in academia,… (more)

Subjects/Keywords: LDA; Topic Model; Job Classification; Competency; Data Science

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APA (6th Edition):

Sun, T. (2016). The Study of Competence and Job Classification in Data Science Industry. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612116-093823

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):

Sun, Ting-Chang. “The Study of Competence and Job Classification in Data Science Industry.” 2016. Thesis, NSYSU. Accessed November 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612116-093823.

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

MLA Handbook (7th Edition):

Sun, Ting-Chang. “The Study of Competence and Job Classification in Data Science Industry.” 2016. Web. 22 Nov 2019.

Vancouver:

Sun T. The Study of Competence and Job Classification in Data Science Industry. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Nov 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612116-093823.

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

Council of Science Editors:

Sun T. The Study of Competence and Job Classification in Data Science Industry. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612116-093823

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


Kent State University

16. Muoh, Chibuike. Sparsification for Topic Modeling and Applications to Information Retrieval.

Degree: MS, College of Arts and Sciences / Department of Computer Science, 2009, Kent State University

 In this thesis we tackle the problem of improving the probabilistic topic model used in information retrieval and text mining tasks to discovering the latent… (more)

Subjects/Keywords: Computer Science; PLSA; information retrieval; clustering; topic model

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APA (6th Edition):

Muoh, C. (2009). Sparsification for Topic Modeling and Applications to Information Retrieval. (Masters Thesis). Kent State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=kent1259206719

Chicago Manual of Style (16th Edition):

Muoh, Chibuike. “Sparsification for Topic Modeling and Applications to Information Retrieval.” 2009. Masters Thesis, Kent State University. Accessed November 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1259206719.

MLA Handbook (7th Edition):

Muoh, Chibuike. “Sparsification for Topic Modeling and Applications to Information Retrieval.” 2009. Web. 22 Nov 2019.

Vancouver:

Muoh C. Sparsification for Topic Modeling and Applications to Information Retrieval. [Internet] [Masters thesis]. Kent State University; 2009. [cited 2019 Nov 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1259206719.

Council of Science Editors:

Muoh C. Sparsification for Topic Modeling and Applications to Information Retrieval. [Masters Thesis]. Kent State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1259206719


University of California – Berkeley

17. Kuang, Christine Yai. Predictive and Interpretable Text Machine Learning Models with Applications in Political Science.

Degree: Statistics, 2017, University of California – Berkeley

 In this era, massive amounts of data are routinely collected and warehoused to be analyzed for scientific and industrial goals. Text data are a major… (more)

Subjects/Keywords: Statistics; Political Science; Prediction; Stability; Text Analysis; Topic Model

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APA (6th Edition):

Kuang, C. Y. (2017). Predictive and Interpretable Text Machine Learning Models with Applications in Political Science. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/7zz3p04x

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):

Kuang, Christine Yai. “Predictive and Interpretable Text Machine Learning Models with Applications in Political Science.” 2017. Thesis, University of California – Berkeley. Accessed November 22, 2019. http://www.escholarship.org/uc/item/7zz3p04x.

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

MLA Handbook (7th Edition):

Kuang, Christine Yai. “Predictive and Interpretable Text Machine Learning Models with Applications in Political Science.” 2017. Web. 22 Nov 2019.

Vancouver:

Kuang CY. Predictive and Interpretable Text Machine Learning Models with Applications in Political Science. [Internet] [Thesis]. University of California – Berkeley; 2017. [cited 2019 Nov 22]. Available from: http://www.escholarship.org/uc/item/7zz3p04x.

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

Council of Science Editors:

Kuang CY. Predictive and Interpretable Text Machine Learning Models with Applications in Political Science. [Thesis]. University of California – Berkeley; 2017. Available from: http://www.escholarship.org/uc/item/7zz3p04x

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


University of Saskatchewan

18. Caldwell, Krystal D 1989-. INFORMATION SEEKING AND SHARING IN RURAL SRI LANKA: IDENTIFICATION OF CENTRAL INDIVIDUALS IN WILDLIFE, LIVESTOCK, AND HUMAN HEALTH INFORMATION NETWORKS.

Degree: 2017, University of Saskatchewan

 Low-resource countries are disproportionately affected by infectious diseases and residents living in rural areas in these countries are more likely to experience geographic or infrastructural… (more)

Subjects/Keywords: social network analysis; Sri Lanka; health; disease surveillance; topic model

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

APA (6th Edition):

Caldwell, K. D. 1. (2017). INFORMATION SEEKING AND SHARING IN RURAL SRI LANKA: IDENTIFICATION OF CENTRAL INDIVIDUALS IN WILDLIFE, LIVESTOCK, AND HUMAN HEALTH INFORMATION NETWORKS. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/7740

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):

Caldwell, Krystal D 1989-. “INFORMATION SEEKING AND SHARING IN RURAL SRI LANKA: IDENTIFICATION OF CENTRAL INDIVIDUALS IN WILDLIFE, LIVESTOCK, AND HUMAN HEALTH INFORMATION NETWORKS.” 2017. Thesis, University of Saskatchewan. Accessed November 22, 2019. http://hdl.handle.net/10388/7740.

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

MLA Handbook (7th Edition):

Caldwell, Krystal D 1989-. “INFORMATION SEEKING AND SHARING IN RURAL SRI LANKA: IDENTIFICATION OF CENTRAL INDIVIDUALS IN WILDLIFE, LIVESTOCK, AND HUMAN HEALTH INFORMATION NETWORKS.” 2017. Web. 22 Nov 2019.

Vancouver:

Caldwell KD1. INFORMATION SEEKING AND SHARING IN RURAL SRI LANKA: IDENTIFICATION OF CENTRAL INDIVIDUALS IN WILDLIFE, LIVESTOCK, AND HUMAN HEALTH INFORMATION NETWORKS. [Internet] [Thesis]. University of Saskatchewan; 2017. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10388/7740.

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

Council of Science Editors:

Caldwell KD1. INFORMATION SEEKING AND SHARING IN RURAL SRI LANKA: IDENTIFICATION OF CENTRAL INDIVIDUALS IN WILDLIFE, LIVESTOCK, AND HUMAN HEALTH INFORMATION NETWORKS. [Thesis]. University of Saskatchewan; 2017. Available from: http://hdl.handle.net/10388/7740

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


University of Manchester

19. Mo, Yuanhan. TOPIC MODELLING FOR SUPPORTING SYSTEMATIC REVIEWS.

Degree: 2016, University of Manchester

Identifying relevant studies for inclusion in a systematic review (i.e. screening) is a complex, laborious and expensive task. Recently, a number of studies have shown… (more)

Subjects/Keywords: Topic model; Text Mining; Machine learning; Systematic Review

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

APA (6th Edition):

Mo, Y. (2016). TOPIC MODELLING FOR SUPPORTING SYSTEMATIC REVIEWS. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:300195

Chicago Manual of Style (16th Edition):

Mo, Yuanhan. “TOPIC MODELLING FOR SUPPORTING SYSTEMATIC REVIEWS.” 2016. Doctoral Dissertation, University of Manchester. Accessed November 22, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:300195.

MLA Handbook (7th Edition):

Mo, Yuanhan. “TOPIC MODELLING FOR SUPPORTING SYSTEMATIC REVIEWS.” 2016. Web. 22 Nov 2019.

Vancouver:

Mo Y. TOPIC MODELLING FOR SUPPORTING SYSTEMATIC REVIEWS. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2019 Nov 22]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:300195.

Council of Science Editors:

Mo Y. TOPIC MODELLING FOR SUPPORTING SYSTEMATIC REVIEWS. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:300195


Virginia Tech

20. Maiti, Dipayan. Multiset Model Selection and Averaging, and Interactive Storytelling.

Degree: PhD, Statistics, 2012, Virginia Tech

 The Multiset Sampler [Leman et al., 2009] has previously been deployed and developed for efficient sampling from complex stochastic processes. We extend the sampler and… (more)

Subjects/Keywords: supervised topic modeling; visual analytics; bayesian model averaging; Bayesian mode selection

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

APA (6th Edition):

Maiti, D. (2012). Multiset Model Selection and Averaging, and Interactive Storytelling. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28563

Chicago Manual of Style (16th Edition):

Maiti, Dipayan. “Multiset Model Selection and Averaging, and Interactive Storytelling.” 2012. Doctoral Dissertation, Virginia Tech. Accessed November 22, 2019. http://hdl.handle.net/10919/28563.

MLA Handbook (7th Edition):

Maiti, Dipayan. “Multiset Model Selection and Averaging, and Interactive Storytelling.” 2012. Web. 22 Nov 2019.

Vancouver:

Maiti D. Multiset Model Selection and Averaging, and Interactive Storytelling. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10919/28563.

Council of Science Editors:

Maiti D. Multiset Model Selection and Averaging, and Interactive Storytelling. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28563


Boise State University

21. Magnuson, Axel. Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs.

Degree: 2016, Boise State University

 Online social networks are an increasingly central medium of communication in the 21st century. We have seen a proliferation of competing social networks which differentiate… (more)

Subjects/Keywords: topic model; popularity; microblog; Twitter; popularity prediction; Artificial Intelligence and Robotics

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

APA (6th Edition):

Magnuson, A. (2016). Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs. (Thesis). Boise State University. Retrieved from https://scholarworks.boisestate.edu/td/1080

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):

Magnuson, Axel. “Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs.” 2016. Thesis, Boise State University. Accessed November 22, 2019. https://scholarworks.boisestate.edu/td/1080.

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

MLA Handbook (7th Edition):

Magnuson, Axel. “Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs.” 2016. Web. 22 Nov 2019.

Vancouver:

Magnuson A. Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs. [Internet] [Thesis]. Boise State University; 2016. [cited 2019 Nov 22]. Available from: https://scholarworks.boisestate.edu/td/1080.

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

Council of Science Editors:

Magnuson A. Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs. [Thesis]. Boise State University; 2016. Available from: https://scholarworks.boisestate.edu/td/1080

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


Kansas State University

22. Rahman, Muhammad Sajidur. An empirical case study on Stack Overflow to explore developers’ security challenges.

Degree: MS, Department of Computing and Information Sciences, 2016, Kansas State University

 The unprecedented growth of ubiquitous computing infrastructure has brought new challenges for security, privacy, and trust. New problems range from mobile apps with incomprehensible permission… (more)

Subjects/Keywords: Mining; Software Security; Security & Privacy; Software Engineering; Topic Model; Stack Overflow

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

APA (6th Edition):

Rahman, M. S. (2016). An empirical case study on Stack Overflow to explore developers’ security challenges. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/34563

Chicago Manual of Style (16th Edition):

Rahman, Muhammad Sajidur. “An empirical case study on Stack Overflow to explore developers’ security challenges.” 2016. Masters Thesis, Kansas State University. Accessed November 22, 2019. http://hdl.handle.net/2097/34563.

MLA Handbook (7th Edition):

Rahman, Muhammad Sajidur. “An empirical case study on Stack Overflow to explore developers’ security challenges.” 2016. Web. 22 Nov 2019.

Vancouver:

Rahman MS. An empirical case study on Stack Overflow to explore developers’ security challenges. [Internet] [Masters thesis]. Kansas State University; 2016. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/2097/34563.

Council of Science Editors:

Rahman MS. An empirical case study on Stack Overflow to explore developers’ security challenges. [Masters Thesis]. Kansas State University; 2016. Available from: http://hdl.handle.net/2097/34563


Queens University

23. Chen, Tse-Hsun. Studying Software Quality Using Topic Models .

Degree: Computing, 2013, Queens University

 Software is an integral part of our everyday lives, and hence the quality of software is very important. However, improving and maintaining high software quality… (more)

Subjects/Keywords: Cohesion; Coupling; Topic Model; LDA; Code Quality; Software Quality

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

APA (6th Edition):

Chen, T. (2013). Studying Software Quality Using Topic Models . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/7743

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, Tse-Hsun. “Studying Software Quality Using Topic Models .” 2013. Thesis, Queens University. Accessed November 22, 2019. http://hdl.handle.net/1974/7743.

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

MLA Handbook (7th Edition):

Chen, Tse-Hsun. “Studying Software Quality Using Topic Models .” 2013. Web. 22 Nov 2019.

Vancouver:

Chen T. Studying Software Quality Using Topic Models . [Internet] [Thesis]. Queens University; 2013. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1974/7743.

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

Council of Science Editors:

Chen T. Studying Software Quality Using Topic Models . [Thesis]. Queens University; 2013. Available from: http://hdl.handle.net/1974/7743

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


University of Texas – Austin

24. -7421-5165. Topic modeling via scatter/gather clustering.

Degree: MSin Engineering, Electrical and Computer Engineering, 2015, University of Texas – Austin

 Latent variable models such as Latent Dirichlet Allocation provide rich tools for analyzing large document corpora. They can uncover a wide range of hidden information… (more)

Subjects/Keywords: Topic model; Scatter; Gather; Clustering; Browsing; Latent dirichlet allocation

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APA (6th Edition):

-7421-5165. (2015). Topic modeling via scatter/gather clustering. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32316

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-7421-5165. “Topic modeling via scatter/gather clustering.” 2015. Masters Thesis, University of Texas – Austin. Accessed November 22, 2019. http://hdl.handle.net/2152/32316.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-7421-5165. “Topic modeling via scatter/gather clustering.” 2015. Web. 22 Nov 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7421-5165. Topic modeling via scatter/gather clustering. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/2152/32316.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-7421-5165. Topic modeling via scatter/gather clustering. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32316

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Princeton University

25. Lopez Moctezuma, Gabriel. Deliberation in Collective Decision-Making: The Case of the FOMC .

Degree: PhD, 2016, Princeton University

 A process of deliberation, in which policymakers exchange information prior to formal voting procedures, precedes almost every collective decision. Yet, beyond scarce evidence coming from… (more)

Subjects/Keywords: Committee; Deliberation; Monetary Policy; Probabilistic Topic Model; Structural Estimation

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

APA (6th Edition):

Lopez Moctezuma, G. (2016). Deliberation in Collective Decision-Making: The Case of the FOMC . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp019g54xm14h

Chicago Manual of Style (16th Edition):

Lopez Moctezuma, Gabriel. “Deliberation in Collective Decision-Making: The Case of the FOMC .” 2016. Doctoral Dissertation, Princeton University. Accessed November 22, 2019. http://arks.princeton.edu/ark:/88435/dsp019g54xm14h.

MLA Handbook (7th Edition):

Lopez Moctezuma, Gabriel. “Deliberation in Collective Decision-Making: The Case of the FOMC .” 2016. Web. 22 Nov 2019.

Vancouver:

Lopez Moctezuma G. Deliberation in Collective Decision-Making: The Case of the FOMC . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2019 Nov 22]. Available from: http://arks.princeton.edu/ark:/88435/dsp019g54xm14h.

Council of Science Editors:

Lopez Moctezuma G. Deliberation in Collective Decision-Making: The Case of the FOMC . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp019g54xm14h


Rice University

26. Mukherjee, Rohan. Mining Natural APIs from Large Code Corpora using a Mixture of Hidden Markov Models.

Degree: MS, Engineering, 2017, Rice University

 A Natural API is a collection of API methods that tend to be used following certain discernible statistical patterns in real-world code. In this thesis,… (more)

Subjects/Keywords: Hidden Markov Model; Topic Model; Specification Mining; API Prediction; Data Mining; Software Engineering

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APA (6th Edition):

Mukherjee, R. (2017). Mining Natural APIs from Large Code Corpora using a Mixture of Hidden Markov Models. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/105464

Chicago Manual of Style (16th Edition):

Mukherjee, Rohan. “Mining Natural APIs from Large Code Corpora using a Mixture of Hidden Markov Models.” 2017. Masters Thesis, Rice University. Accessed November 22, 2019. http://hdl.handle.net/1911/105464.

MLA Handbook (7th Edition):

Mukherjee, Rohan. “Mining Natural APIs from Large Code Corpora using a Mixture of Hidden Markov Models.” 2017. Web. 22 Nov 2019.

Vancouver:

Mukherjee R. Mining Natural APIs from Large Code Corpora using a Mixture of Hidden Markov Models. [Internet] [Masters thesis]. Rice University; 2017. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1911/105464.

Council of Science Editors:

Mukherjee R. Mining Natural APIs from Large Code Corpora using a Mixture of Hidden Markov Models. [Masters Thesis]. Rice University; 2017. Available from: http://hdl.handle.net/1911/105464


NSYSU

27. Lin, Bing-Hung. An Integrated Framework for Identifying Entities Topics and Sentiment from Text.

Degree: Master, Information Management, 2018, NSYSU

 Due to the growth of news articles on the internet, topic and sentiment analysis have been widely used for text mining. However, it's difficult to… (more)

Subjects/Keywords: Entity Extraction; Text Mining; Sentiment Analysis; Topic Identification; Chinese Natural Language Processing; Topic modeling; Aspect and Sentiment Unification Model

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

APA (6th Edition):

Lin, B. (2018). An Integrated Framework for Identifying Entities Topics and Sentiment from Text. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-124937

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):

Lin, Bing-Hung. “An Integrated Framework for Identifying Entities Topics and Sentiment from Text.” 2018. Thesis, NSYSU. Accessed November 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-124937.

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

MLA Handbook (7th Edition):

Lin, Bing-Hung. “An Integrated Framework for Identifying Entities Topics and Sentiment from Text.” 2018. Web. 22 Nov 2019.

Vancouver:

Lin B. An Integrated Framework for Identifying Entities Topics and Sentiment from Text. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Nov 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-124937.

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

Council of Science Editors:

Lin B. An Integrated Framework for Identifying Entities Topics and Sentiment from Text. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-124937

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


George Mason University

28. Blasiak, Samuel J. Latent Variable Models of Sequence Data for Classification and Discovery .

Degree: 2013, George Mason University

 The need to operate on sequence data is prevalent across a range of real world applications including protein/DNA classification, speech recognition, intrusion detection, and text… (more)

Subjects/Keywords: Computer science; Hidden Markov Model; Latent Variable Model; Neural Network; Sequences; Sparse Dictionary Learning; Topic Model

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

APA (6th Edition):

Blasiak, S. J. (2013). Latent Variable Models of Sequence Data for Classification and Discovery . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/8798

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):

Blasiak, Samuel J. “Latent Variable Models of Sequence Data for Classification and Discovery .” 2013. Thesis, George Mason University. Accessed November 22, 2019. http://hdl.handle.net/1920/8798.

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

MLA Handbook (7th Edition):

Blasiak, Samuel J. “Latent Variable Models of Sequence Data for Classification and Discovery .” 2013. Web. 22 Nov 2019.

Vancouver:

Blasiak SJ. Latent Variable Models of Sequence Data for Classification and Discovery . [Internet] [Thesis]. George Mason University; 2013. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1920/8798.

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

Council of Science Editors:

Blasiak SJ. Latent Variable Models of Sequence Data for Classification and Discovery . [Thesis]. George Mason University; 2013. Available from: http://hdl.handle.net/1920/8798

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


University of Pretoria

29. Shiburi, Piet Thapedi. Tshekatsheko ya diteng le poloto ya Go ša Baori ka D.P.S. Monyaise (Sepedi).

Degree: African Languages, 2008, University of Pretoria

 A representative example of Monyaise’s work is his novel Go ša Baori, published in 1970. A survey of the literature reveals that this novel has… (more)

Subjects/Keywords: Theme; Plot; Adapted narratological model; Setting; Tragedy; Technique; Conflict; Topic; Content; Structure; UCTD

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

APA (6th Edition):

Shiburi, P. (2008). Tshekatsheko ya diteng le poloto ya Go ša Baori ka D.P.S. Monyaise (Sepedi). (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/26561

Chicago Manual of Style (16th Edition):

Shiburi, Piet. “Tshekatsheko ya diteng le poloto ya Go ša Baori ka D.P.S. Monyaise (Sepedi).” 2008. Masters Thesis, University of Pretoria. Accessed November 22, 2019. http://hdl.handle.net/2263/26561.

MLA Handbook (7th Edition):

Shiburi, Piet. “Tshekatsheko ya diteng le poloto ya Go ša Baori ka D.P.S. Monyaise (Sepedi).” 2008. Web. 22 Nov 2019.

Vancouver:

Shiburi P. Tshekatsheko ya diteng le poloto ya Go ša Baori ka D.P.S. Monyaise (Sepedi). [Internet] [Masters thesis]. University of Pretoria; 2008. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/2263/26561.

Council of Science Editors:

Shiburi P. Tshekatsheko ya diteng le poloto ya Go ša Baori ka D.P.S. Monyaise (Sepedi). [Masters Thesis]. University of Pretoria; 2008. Available from: http://hdl.handle.net/2263/26561


University of Kansas

30. Park, Meeyoung. HealthTrust: Assessing the Trustworthiness of Healthcare Information on the Internet.

Degree: PhD, Electrical Engineering & Computer Science, 2013, University of Kansas

 As well recognized, healthcare information is growing exponentially and is made more available to public. Frequent users such as medical professionals and patients are highly… (more)

Subjects/Keywords: Computer science; Healthcare informatics; Hidden Markov model; Machine learning; Natural language processing; Topic modeling; Trustworthiness

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

APA (6th Edition):

Park, M. (2013). HealthTrust: Assessing the Trustworthiness of Healthcare Information on the Internet. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/14202

Chicago Manual of Style (16th Edition):

Park, Meeyoung. “HealthTrust: Assessing the Trustworthiness of Healthcare Information on the Internet.” 2013. Doctoral Dissertation, University of Kansas. Accessed November 22, 2019. http://hdl.handle.net/1808/14202.

MLA Handbook (7th Edition):

Park, Meeyoung. “HealthTrust: Assessing the Trustworthiness of Healthcare Information on the Internet.” 2013. Web. 22 Nov 2019.

Vancouver:

Park M. HealthTrust: Assessing the Trustworthiness of Healthcare Information on the Internet. [Internet] [Doctoral dissertation]. University of Kansas; 2013. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1808/14202.

Council of Science Editors:

Park M. HealthTrust: Assessing the Trustworthiness of Healthcare Information on the Internet. [Doctoral Dissertation]. University of Kansas; 2013. Available from: http://hdl.handle.net/1808/14202

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