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You searched for subject:(topic modeling). Showing records 1 – 30 of 143 total matches.

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Virginia Tech

1. Chen, Liangzhe. Segmenting, Summarizing and Predicting Data Sequences.

Degree: PhD, Computer Science, 2018, Virginia Tech

 Temporal data is ubiquitous nowadays and can be easily found in many applications. Consider the extensively studied social media website Twitter. All the information can… (more)

Subjects/Keywords: Sequence Mining; Segmentation; Topic Modeling

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

APA (6th Edition):

Chen, L. (2018). Segmenting, Summarizing and Predicting Data Sequences. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83573

Chicago Manual of Style (16th Edition):

Chen, Liangzhe. “Segmenting, Summarizing and Predicting Data Sequences.” 2018. Doctoral Dissertation, Virginia Tech. Accessed March 30, 2020. http://hdl.handle.net/10919/83573.

MLA Handbook (7th Edition):

Chen, Liangzhe. “Segmenting, Summarizing and Predicting Data Sequences.” 2018. Web. 30 Mar 2020.

Vancouver:

Chen L. Segmenting, Summarizing and Predicting Data Sequences. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10919/83573.

Council of Science Editors:

Chen L. Segmenting, Summarizing and Predicting Data Sequences. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83573


Virginia Tech

2. Gad, Samah Hossam Aldin. Expressive Forms of Topic Modeling to Support Digital Humanities.

Degree: PhD, Computer Science, 2014, Virginia Tech

 Unstructured textual data is rapidly growing and practitioners from diverse disciplines are expe- riencing a need to structure this massive amount of data. Topic modeling(more)

Subjects/Keywords: Topic Modeling; LDA; Segmentation

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APA (6th Edition):

Gad, S. H. A. (2014). Expressive Forms of Topic Modeling to Support Digital Humanities. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/65145

Chicago Manual of Style (16th Edition):

Gad, Samah Hossam Aldin. “Expressive Forms of Topic Modeling to Support Digital Humanities.” 2014. Doctoral Dissertation, Virginia Tech. Accessed March 30, 2020. http://hdl.handle.net/10919/65145.

MLA Handbook (7th Edition):

Gad, Samah Hossam Aldin. “Expressive Forms of Topic Modeling to Support Digital Humanities.” 2014. Web. 30 Mar 2020.

Vancouver:

Gad SHA. Expressive Forms of Topic Modeling to Support Digital Humanities. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10919/65145.

Council of Science Editors:

Gad SHA. Expressive Forms of Topic Modeling to Support Digital Humanities. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/65145


NSYSU

3. 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 (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 March 30, 2020. 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. 30 Mar 2020.

Vancouver:

Hsu T. A Research On Cross-Lingual Topic Analysis. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Mar 30]. 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

4. Ku, Che-wen. Topic Recommendation and Discovery based on Matrix Factorization.

Degree: Master, Information Management, 2017, NSYSU

 Nowadays, there are more and more text documents on the Internet with the development of the Internet, because much information is related to text. Thus,… (more)

Subjects/Keywords: Non-negative Matrix Factorization; Topic Discovery; Recommendation; Topic Modeling

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APA (6th Edition):

Ku, C. (2017). Topic Recommendation and Discovery based on Matrix Factorization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750

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):

Ku, Che-wen. “Topic Recommendation and Discovery based on Matrix Factorization.” 2017. Thesis, NSYSU. Accessed March 30, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750.

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

MLA Handbook (7th Edition):

Ku, Che-wen. “Topic Recommendation and Discovery based on Matrix Factorization.” 2017. Web. 30 Mar 2020.

Vancouver:

Ku C. Topic Recommendation and Discovery based on Matrix Factorization. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Mar 30]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750.

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

Council of Science Editors:

Ku C. Topic Recommendation and Discovery based on Matrix Factorization. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-145750

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


Penn State University

5. Zhou, Chong. Extracting Discriminating Features from Contextual Domain Knowledge for Enhancing Topic Discovery of Online Forums.

Degree: MS, Information Sciences and Technology, 2016, Penn State University

Topic models are popular in discovering latent topics from document corpora. Traditional topic models such as Latent Dirichlet Allocation (LDA) are usually fully unsupervised, which… (more)

Subjects/Keywords: Information Theory; Topic Modeling; Online Forums

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

APA (6th Edition):

Zhou, C. (2016). Extracting Discriminating Features from Contextual Domain Knowledge for Enhancing Topic Discovery of Online Forums. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/28829

Chicago Manual of Style (16th Edition):

Zhou, Chong. “Extracting Discriminating Features from Contextual Domain Knowledge for Enhancing Topic Discovery of Online Forums.” 2016. Masters Thesis, Penn State University. Accessed March 30, 2020. https://etda.libraries.psu.edu/catalog/28829.

MLA Handbook (7th Edition):

Zhou, Chong. “Extracting Discriminating Features from Contextual Domain Knowledge for Enhancing Topic Discovery of Online Forums.” 2016. Web. 30 Mar 2020.

Vancouver:

Zhou C. Extracting Discriminating Features from Contextual Domain Knowledge for Enhancing Topic Discovery of Online Forums. [Internet] [Masters thesis]. Penn State University; 2016. [cited 2020 Mar 30]. Available from: https://etda.libraries.psu.edu/catalog/28829.

Council of Science Editors:

Zhou C. Extracting Discriminating Features from Contextual Domain Knowledge for Enhancing Topic Discovery of Online Forums. [Masters Thesis]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/28829


Virginia Tech

6. Hua, Ting. Topics, Events, Stories in Social Media.

Degree: PhD, Computer Science, 2018, Virginia Tech

 The rise of big data, especially social media data (e.g., Twitter, Facebook, Youtube), gives new opportunities to the understanding of human behavior. Consequently, novel computing… (more)

Subjects/Keywords: Social media; Topic modeling; Event Detection

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

APA (6th Edition):

Hua, T. (2018). Topics, Events, Stories in Social Media. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82029

Chicago Manual of Style (16th Edition):

Hua, Ting. “Topics, Events, Stories in Social Media.” 2018. Doctoral Dissertation, Virginia Tech. Accessed March 30, 2020. http://hdl.handle.net/10919/82029.

MLA Handbook (7th Edition):

Hua, Ting. “Topics, Events, Stories in Social Media.” 2018. Web. 30 Mar 2020.

Vancouver:

Hua T. Topics, Events, Stories in Social Media. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10919/82029.

Council of Science Editors:

Hua T. Topics, Events, Stories in Social Media. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82029


Kansas State University

7. Patel, Virashree Hrushikesh. Topic modeling using latent dirichlet allocation on disaster tweets.

Degree: MS, Department of Computer Science, 2018, Kansas State University

 Social media has changed the way people communicate information. It has been noted that social media platforms like Twitter are increasingly being used by people… (more)

Subjects/Keywords: topic modeling; twitter; latent dirichlet allocation; LDA

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APA (6th Edition):

Patel, V. H. (2018). Topic modeling using latent dirichlet allocation on disaster tweets. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/39337

Chicago Manual of Style (16th Edition):

Patel, Virashree Hrushikesh. “Topic modeling using latent dirichlet allocation on disaster tweets.” 2018. Masters Thesis, Kansas State University. Accessed March 30, 2020. http://hdl.handle.net/2097/39337.

MLA Handbook (7th Edition):

Patel, Virashree Hrushikesh. “Topic modeling using latent dirichlet allocation on disaster tweets.” 2018. Web. 30 Mar 2020.

Vancouver:

Patel VH. Topic modeling using latent dirichlet allocation on disaster tweets. [Internet] [Masters thesis]. Kansas State University; 2018. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/2097/39337.

Council of Science Editors:

Patel VH. Topic modeling using latent dirichlet allocation on disaster tweets. [Masters Thesis]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/39337


University of Manitoba

8. Sabab, Shahed. An investigation on automatically assessing an application tutorial’s difficulty.

Degree: Computer Science, 2019, University of Manitoba

 Online step-by-step tutorials play an integral role in how users learn feature-rich software applications (e.g., Photoshop, AutoCAD, Fusion360). However, when searching for a tutorial, users… (more)

Subjects/Keywords: Topic modeling; Tutorial expertise; TutVis; Assessing difficulty

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APA (6th Edition):

Sabab, S. (2019). An investigation on automatically assessing an application tutorial’s difficulty. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/34467

Chicago Manual of Style (16th Edition):

Sabab, Shahed. “An investigation on automatically assessing an application tutorial’s difficulty.” 2019. Masters Thesis, University of Manitoba. Accessed March 30, 2020. http://hdl.handle.net/1993/34467.

MLA Handbook (7th Edition):

Sabab, Shahed. “An investigation on automatically assessing an application tutorial’s difficulty.” 2019. Web. 30 Mar 2020.

Vancouver:

Sabab S. An investigation on automatically assessing an application tutorial’s difficulty. [Internet] [Masters thesis]. University of Manitoba; 2019. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/1993/34467.

Council of Science Editors:

Sabab S. An investigation on automatically assessing an application tutorial’s difficulty. [Masters Thesis]. University of Manitoba; 2019. Available from: http://hdl.handle.net/1993/34467


Carnegie Mellon University

9. Peters, Nia S. Collaborative Communication Interruption Management System (C-CIMS): Modeling Interruption Timings via Prosodic and Topic Modelling for Human-Machine Teams.

Degree: 2017, Carnegie Mellon University

 Human-machine teaming aims to meld human cognitive strengths and the unique capabilities of smart machines to create intelligent teams adaptive to rapidly changing circumstances. One… (more)

Subjects/Keywords: human machine teaming; interruption management system; prosody modeling; topic modeling

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APA (6th Edition):

Peters, N. S. (2017). Collaborative Communication Interruption Management System (C-CIMS): Modeling Interruption Timings via Prosodic and Topic Modelling for Human-Machine Teams. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1100

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):

Peters, Nia S. “Collaborative Communication Interruption Management System (C-CIMS): Modeling Interruption Timings via Prosodic and Topic Modelling for Human-Machine Teams.” 2017. Thesis, Carnegie Mellon University. Accessed March 30, 2020. http://repository.cmu.edu/dissertations/1100.

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

MLA Handbook (7th Edition):

Peters, Nia S. “Collaborative Communication Interruption Management System (C-CIMS): Modeling Interruption Timings via Prosodic and Topic Modelling for Human-Machine Teams.” 2017. Web. 30 Mar 2020.

Vancouver:

Peters NS. Collaborative Communication Interruption Management System (C-CIMS): Modeling Interruption Timings via Prosodic and Topic Modelling for Human-Machine Teams. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2020 Mar 30]. Available from: http://repository.cmu.edu/dissertations/1100.

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

Council of Science Editors:

Peters NS. Collaborative Communication Interruption Management System (C-CIMS): Modeling Interruption Timings via Prosodic and Topic Modelling for Human-Machine Teams. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/1100

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


University of Illinois – Chicago

10. 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 March 30, 2020. 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. 30 Mar 2020.

Vancouver:

Wang J. Two Applications of Topic Models. [Internet] [Thesis]. University of Illinois – Chicago; 2015. [cited 2020 Mar 30]. 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

11. 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 March 30, 2020. 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. 30 Mar 2020.

Vancouver:

Roday E. Three Cheers For Partisanship: Lexical Framing and Applause in U.S. Presidential Primary Debates. [Internet] [Thesis]. University of Washington; 2017. [cited 2020 Mar 30]. 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

12. Lund, Jeffrey A. Fine-Grained Topic Models Using Anchor Words.

Degree: PhD, 2018, Brigham Young University

Topic modeling is an effective tool for analyzing the thematic content of large collections of text. However, traditional probabilistic topic modeling is limited to… (more)

Subjects/Keywords: Topic Modeling; Anchor Words; Cross-reference Generation; Computer Sciences

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APA (6th Edition):

Lund, J. A. (2018). Fine-Grained Topic Models Using Anchor Words. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8559&context=etd

Chicago Manual of Style (16th Edition):

Lund, Jeffrey A. “Fine-Grained Topic Models Using Anchor Words.” 2018. Doctoral Dissertation, Brigham Young University. Accessed March 30, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8559&context=etd.

MLA Handbook (7th Edition):

Lund, Jeffrey A. “Fine-Grained Topic Models Using Anchor Words.” 2018. Web. 30 Mar 2020.

Vancouver:

Lund JA. Fine-Grained Topic Models Using Anchor Words. [Internet] [Doctoral dissertation]. Brigham Young University; 2018. [cited 2020 Mar 30]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8559&context=etd.

Council of Science Editors:

Lund JA. Fine-Grained Topic Models Using Anchor Words. [Doctoral Dissertation]. Brigham Young University; 2018. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8559&context=etd

13. Bogard, Britney A. Topic modeling: a novel approach to drug repositioning using metadata.

Degree: MS, Engineering and Applied Science: Computer Science, 2014, University of Cincinnati

 The expense of researching and developing new drugs is growing and restricting our opportunities to treat people effectively. Drug repositioning offers a less expensive and… (more)

Subjects/Keywords: Computer Science; drug repositioning; topic modeling; drug-disease similarity

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

APA (6th Edition):

Bogard, B. A. (2014). Topic modeling: a novel approach to drug repositioning using metadata. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1415625843

Chicago Manual of Style (16th Edition):

Bogard, Britney A. “Topic modeling: a novel approach to drug repositioning using metadata.” 2014. Masters Thesis, University of Cincinnati. Accessed March 30, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1415625843.

MLA Handbook (7th Edition):

Bogard, Britney A. “Topic modeling: a novel approach to drug repositioning using metadata.” 2014. Web. 30 Mar 2020.

Vancouver:

Bogard BA. Topic modeling: a novel approach to drug repositioning using metadata. [Internet] [Masters thesis]. University of Cincinnati; 2014. [cited 2020 Mar 30]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1415625843.

Council of Science Editors:

Bogard BA. Topic modeling: a novel approach to drug repositioning using metadata. [Masters Thesis]. University of Cincinnati; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1415625843


Carnegie Mellon University

14. Wei, Wei. Probabilistic Models of Topics and Social Events.

Degree: 2016, Carnegie Mellon University

 Structured probabilistic inference has shown to be useful in modeling complex latent structures of data. One successful way in which this technique has been applied… (more)

Subjects/Keywords: Machine Learning; Topic Modeling; Graphical Models; Non-parametric Bayesian; Text Mining

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

APA (6th Edition):

Wei, W. (2016). Probabilistic Models of Topics and Social Events. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/941

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):

Wei, Wei. “Probabilistic Models of Topics and Social Events.” 2016. Thesis, Carnegie Mellon University. Accessed March 30, 2020. http://repository.cmu.edu/dissertations/941.

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

MLA Handbook (7th Edition):

Wei, Wei. “Probabilistic Models of Topics and Social Events.” 2016. Web. 30 Mar 2020.

Vancouver:

Wei W. Probabilistic Models of Topics and Social Events. [Internet] [Thesis]. Carnegie Mellon University; 2016. [cited 2020 Mar 30]. Available from: http://repository.cmu.edu/dissertations/941.

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

Council of Science Editors:

Wei W. Probabilistic Models of Topics and Social Events. [Thesis]. Carnegie Mellon University; 2016. Available from: http://repository.cmu.edu/dissertations/941

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


University of California – Berkeley

15. Godbehere, Andrew B. Fast and Effective Approximations for Summarization and Categorization of Very Large Text Corpora.

Degree: Electrical Engineering & Computer Sciences, 2015, University of California – Berkeley

 Given the overwhelming quantities of data generated every day, there is a pressing need for tools that can extract valuable and timely information. Vast reams… (more)

Subjects/Keywords: Computer science; Mass communication; Text mining; Topic modeling

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APA (6th Edition):

Godbehere, A. B. (2015). Fast and Effective Approximations for Summarization and Categorization of Very Large Text Corpora. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/01d8j64m

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):

Godbehere, Andrew B. “Fast and Effective Approximations for Summarization and Categorization of Very Large Text Corpora.” 2015. Thesis, University of California – Berkeley. Accessed March 30, 2020. http://www.escholarship.org/uc/item/01d8j64m.

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

MLA Handbook (7th Edition):

Godbehere, Andrew B. “Fast and Effective Approximations for Summarization and Categorization of Very Large Text Corpora.” 2015. Web. 30 Mar 2020.

Vancouver:

Godbehere AB. Fast and Effective Approximations for Summarization and Categorization of Very Large Text Corpora. [Internet] [Thesis]. University of California – Berkeley; 2015. [cited 2020 Mar 30]. Available from: http://www.escholarship.org/uc/item/01d8j64m.

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

Council of Science Editors:

Godbehere AB. Fast and Effective Approximations for Summarization and Categorization of Very Large Text Corpora. [Thesis]. University of California – Berkeley; 2015. Available from: http://www.escholarship.org/uc/item/01d8j64m

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


University of Western Ontario

16. Astvansh, Vivek. Toward a Better Understanding and Management of Product Recall.

Degree: 2018, University of Western Ontario

 Product recalls have become increasingly common across product categories and countries. Although recalls pose adverse consequences for businesses, regulatory agencies, and society, they also test… (more)

Subjects/Keywords: Product Recall; Marketing Communications; Channels; Topic Modeling; Machine Learning; Marketing

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

APA (6th Edition):

Astvansh, V. (2018). Toward a Better Understanding and Management of Product Recall. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5810

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):

Astvansh, Vivek. “Toward a Better Understanding and Management of Product Recall.” 2018. Thesis, University of Western Ontario. Accessed March 30, 2020. https://ir.lib.uwo.ca/etd/5810.

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

MLA Handbook (7th Edition):

Astvansh, Vivek. “Toward a Better Understanding and Management of Product Recall.” 2018. Web. 30 Mar 2020.

Vancouver:

Astvansh V. Toward a Better Understanding and Management of Product Recall. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2020 Mar 30]. Available from: https://ir.lib.uwo.ca/etd/5810.

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

Council of Science Editors:

Astvansh V. Toward a Better Understanding and Management of Product Recall. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5810

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


Harvard University

17. Bischof, Jonathan Michael. Interpretable and Scalable Bayesian Models for Advertising and Text.

Degree: PhD, Statistics, 2014, Harvard University

In the era of "big data", scalable statistical inference is necessary to learn from new and growing sources of quantitative information. However, many commercial and… (more)

Subjects/Keywords: Statistics; Advertising; Bayesian statistics; Big data; Topic modeling

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APA (6th Edition):

Bischof, J. M. (2014). Interpretable and Scalable Bayesian Models for Advertising and Text. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274326

Chicago Manual of Style (16th Edition):

Bischof, Jonathan Michael. “Interpretable and Scalable Bayesian Models for Advertising and Text.” 2014. Doctoral Dissertation, Harvard University. Accessed March 30, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274326.

MLA Handbook (7th Edition):

Bischof, Jonathan Michael. “Interpretable and Scalable Bayesian Models for Advertising and Text.” 2014. Web. 30 Mar 2020.

Vancouver:

Bischof JM. Interpretable and Scalable Bayesian Models for Advertising and Text. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2020 Mar 30]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274326.

Council of Science Editors:

Bischof JM. Interpretable and Scalable Bayesian Models for Advertising and Text. [Doctoral Dissertation]. Harvard University; 2014. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274326


NSYSU

18. Tien, Kuang-Chun. Exploring the Differences and Associations of the Working Issues between Two Sides of the Taiwan Strait from Public Forums Using Texting Mining.

Degree: Master, Information Management, 2017, NSYSU

 Under the trend of internationalization, the communications between countries are becoming more and more frequent, and there is a unique and sensitive situation between Taiwan… (more)

Subjects/Keywords: topic modeling; cross-strait work; text mining; LDA; similarity analysis

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

APA (6th Edition):

Tien, K. (2017). Exploring the Differences and Associations of the Working Issues between Two Sides of the Taiwan Strait from Public Forums Using Texting Mining. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0530117-135858

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):

Tien, Kuang-Chun. “Exploring the Differences and Associations of the Working Issues between Two Sides of the Taiwan Strait from Public Forums Using Texting Mining.” 2017. Thesis, NSYSU. Accessed March 30, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0530117-135858.

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

MLA Handbook (7th Edition):

Tien, Kuang-Chun. “Exploring the Differences and Associations of the Working Issues between Two Sides of the Taiwan Strait from Public Forums Using Texting Mining.” 2017. Web. 30 Mar 2020.

Vancouver:

Tien K. Exploring the Differences and Associations of the Working Issues between Two Sides of the Taiwan Strait from Public Forums Using Texting Mining. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Mar 30]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0530117-135858.

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

Council of Science Editors:

Tien K. Exploring the Differences and Associations of the Working Issues between Two Sides of the Taiwan Strait from Public Forums Using Texting Mining. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0530117-135858

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


Virginia Tech

19. 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 March 30, 2020. http://hdl.handle.net/10919/28563.

MLA Handbook (7th Edition):

Maiti, Dipayan. “Multiset Model Selection and Averaging, and Interactive Storytelling.” 2012. Web. 30 Mar 2020.

Vancouver:

Maiti D. Multiset Model Selection and Averaging, and Interactive Storytelling. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Mar 30]. 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


Open Universiteit Nederland

20. Willems, John. Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling .

Degree: 2014, Open Universiteit Nederland

 Studies have shown that topic modeling with Latent Dirichlet Allocation (LDA) is a useful (semi-)unsupervised technique to reveal information about a software system that was… (more)

Subjects/Keywords: Latent Dirichlet Allocation; Topic Modeling; Rascal; Metrics; source code

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

APA (6th Edition):

Willems, J. (2014). Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling . (Masters Thesis). Open Universiteit Nederland. Retrieved from http://hdl.handle.net/1820/5350

Chicago Manual of Style (16th Edition):

Willems, John. “Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling .” 2014. Masters Thesis, Open Universiteit Nederland. Accessed March 30, 2020. http://hdl.handle.net/1820/5350.

MLA Handbook (7th Edition):

Willems, John. “Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling .” 2014. Web. 30 Mar 2020.

Vancouver:

Willems J. Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling . [Internet] [Masters thesis]. Open Universiteit Nederland; 2014. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/1820/5350.

Council of Science Editors:

Willems J. Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling . [Masters Thesis]. Open Universiteit Nederland; 2014. Available from: http://hdl.handle.net/1820/5350


University of Illinois – Chicago

21. Chen, Zhiyuan. Lifelong Machine Learning for Topic Modeling and Classification.

Degree: 2016, University of Illinois – Chicago

 Machine Learning (ML) has been successfully used as a prevalent approach for many computational tasks and applications. However, most ML algorithms are designed to address… (more)

Subjects/Keywords: Lifelong Machine Learning; Lifelong Learning; Topic Modeling; Classification; Big Data

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

APA (6th Edition):

Chen, Z. (2016). Lifelong Machine Learning for Topic Modeling and Classification. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/20234

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, Zhiyuan. “Lifelong Machine Learning for Topic Modeling and Classification.” 2016. Thesis, University of Illinois – Chicago. Accessed March 30, 2020. http://hdl.handle.net/10027/20234.

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

MLA Handbook (7th Edition):

Chen, Zhiyuan. “Lifelong Machine Learning for Topic Modeling and Classification.” 2016. Web. 30 Mar 2020.

Vancouver:

Chen Z. Lifelong Machine Learning for Topic Modeling and Classification. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10027/20234.

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

Council of Science Editors:

Chen Z. Lifelong Machine Learning for Topic Modeling and Classification. [Thesis]. University of Illinois – Chicago; 2016. Available from: http://hdl.handle.net/10027/20234

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


Kansas State University

22. Parimi, Rohit. LDA based approach for predicting friendship links in live journal social network.

Degree: MS, Department of Computing and Information Sciences, 2010, Kansas State University

 The idea of socializing with other people of different backgrounds and cultures excites the web surfers. Today, there are hundreds of Social Networking sites on… (more)

Subjects/Keywords: Social Network Analysis; Topic Modeling; Friendship Link Prediction; Computer Science (0984)

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

APA (6th Edition):

Parimi, R. (2010). LDA based approach for predicting friendship links in live journal social network. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/4624

Chicago Manual of Style (16th Edition):

Parimi, Rohit. “LDA based approach for predicting friendship links in live journal social network.” 2010. Masters Thesis, Kansas State University. Accessed March 30, 2020. http://hdl.handle.net/2097/4624.

MLA Handbook (7th Edition):

Parimi, Rohit. “LDA based approach for predicting friendship links in live journal social network.” 2010. Web. 30 Mar 2020.

Vancouver:

Parimi R. LDA based approach for predicting friendship links in live journal social network. [Internet] [Masters thesis]. Kansas State University; 2010. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/2097/4624.

Council of Science Editors:

Parimi R. LDA based approach for predicting friendship links in live journal social network. [Masters Thesis]. Kansas State University; 2010. Available from: http://hdl.handle.net/2097/4624


University of Louisville

23. Nutakki, Gopi Chand. A framework for clustering and adaptive topic tracking on evolving text and social media data streams.

Degree: PhD, 2017, University of Louisville

  Recent advances and widespread usage of online web services and social media platforms, coupled with ubiquitous low cost devices, mobile technologies, and increasing capacity… (more)

Subjects/Keywords: stream clustering; topic modeling; Computer Engineering; Computer Sciences

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APA (6th Edition):

Nutakki, G. C. (2017). A framework for clustering and adaptive topic tracking on evolving text and social media data streams. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2834 ; https://ir.library.louisville.edu/etd/2834

Chicago Manual of Style (16th Edition):

Nutakki, Gopi Chand. “A framework for clustering and adaptive topic tracking on evolving text and social media data streams.” 2017. Doctoral Dissertation, University of Louisville. Accessed March 30, 2020. 10.18297/etd/2834 ; https://ir.library.louisville.edu/etd/2834.

MLA Handbook (7th Edition):

Nutakki, Gopi Chand. “A framework for clustering and adaptive topic tracking on evolving text and social media data streams.” 2017. Web. 30 Mar 2020.

Vancouver:

Nutakki GC. A framework for clustering and adaptive topic tracking on evolving text and social media data streams. [Internet] [Doctoral dissertation]. University of Louisville; 2017. [cited 2020 Mar 30]. Available from: 10.18297/etd/2834 ; https://ir.library.louisville.edu/etd/2834.

Council of Science Editors:

Nutakki GC. A framework for clustering and adaptive topic tracking on evolving text and social media data streams. [Doctoral Dissertation]. University of Louisville; 2017. Available from: 10.18297/etd/2834 ; https://ir.library.louisville.edu/etd/2834


Clemson University

24. Feng, Haotian. Performance of Latent Dirichlet Allocation with Different Topic and Document Structures.

Degree: PhD, Mathematical Sciences, 2019, Clemson University

Topic modeling has been used widely to extract the structures (topics) in a collection (corpus) of documents. One popular method is the Latent Dirichlet… (more)

Subjects/Keywords: Evaluation; Experimental Design; LDA; Pre-processing; Simulation; Topic Modeling

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

APA (6th Edition):

Feng, H. (2019). Performance of Latent Dirichlet Allocation with Different Topic and Document Structures. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2448

Chicago Manual of Style (16th Edition):

Feng, Haotian. “Performance of Latent Dirichlet Allocation with Different Topic and Document Structures.” 2019. Doctoral Dissertation, Clemson University. Accessed March 30, 2020. https://tigerprints.clemson.edu/all_dissertations/2448.

MLA Handbook (7th Edition):

Feng, Haotian. “Performance of Latent Dirichlet Allocation with Different Topic and Document Structures.” 2019. Web. 30 Mar 2020.

Vancouver:

Feng H. Performance of Latent Dirichlet Allocation with Different Topic and Document Structures. [Internet] [Doctoral dissertation]. Clemson University; 2019. [cited 2020 Mar 30]. Available from: https://tigerprints.clemson.edu/all_dissertations/2448.

Council of Science Editors:

Feng H. Performance of Latent Dirichlet Allocation with Different Topic and Document Structures. [Doctoral Dissertation]. Clemson University; 2019. Available from: https://tigerprints.clemson.edu/all_dissertations/2448


University of Texas – Austin

25. Anderson, Dylan Zachary. Supervised gamma process Poisson factorization.

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

 This thesis develops the supervised gamma process Poisson factorization (S-GPPF) framework, a novel supervised topic model for joint modeling of count matrices and document labels.… (more)

Subjects/Keywords: Supervised topic modeling; Bayesian nonparametric; Gamma process; Poisson factorization

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

APA (6th Edition):

Anderson, D. Z. (2015). Supervised gamma process Poisson factorization. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31866

Chicago Manual of Style (16th Edition):

Anderson, Dylan Zachary. “Supervised gamma process Poisson factorization.” 2015. Masters Thesis, University of Texas – Austin. Accessed March 30, 2020. http://hdl.handle.net/2152/31866.

MLA Handbook (7th Edition):

Anderson, Dylan Zachary. “Supervised gamma process Poisson factorization.” 2015. Web. 30 Mar 2020.

Vancouver:

Anderson DZ. Supervised gamma process Poisson factorization. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/2152/31866.

Council of Science Editors:

Anderson DZ. Supervised gamma process Poisson factorization. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31866

26. Miao, Jun. Making a Better Query: Find Good Feedback Documents and Terms via Semantic Associations.

Degree: PhD, Computer Science, 2017, York University

 When people search, they always input several keywords as an input query. While current information retrieval (IR) systems are based on term matching, documents will… (more)

Subjects/Keywords: Computer science; Computer Science; Information Retrieval; Topic Modeling; Machine Learning

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

APA (6th Edition):

Miao, J. (2017). Making a Better Query: Find Good Feedback Documents and Terms via Semantic Associations. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/33504

Chicago Manual of Style (16th Edition):

Miao, Jun. “Making a Better Query: Find Good Feedback Documents and Terms via Semantic Associations.” 2017. Doctoral Dissertation, York University. Accessed March 30, 2020. http://hdl.handle.net/10315/33504.

MLA Handbook (7th Edition):

Miao, Jun. “Making a Better Query: Find Good Feedback Documents and Terms via Semantic Associations.” 2017. Web. 30 Mar 2020.

Vancouver:

Miao J. Making a Better Query: Find Good Feedback Documents and Terms via Semantic Associations. [Internet] [Doctoral dissertation]. York University; 2017. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10315/33504.

Council of Science Editors:

Miao J. Making a Better Query: Find Good Feedback Documents and Terms via Semantic Associations. [Doctoral Dissertation]. York University; 2017. Available from: http://hdl.handle.net/10315/33504


Rochester Institute of Technology

27. Wu, Qiuyi. Statistical Aspects of Music Mining: Naive Dictionary Representation.

Degree: MS, School of Mathematical Sciences (COS), 2018, Rochester Institute of Technology

  Extensive studies have been conducted on both musical scores and audio tracks of western classical music with the finality of learning and detecting the… (more)

Subjects/Keywords: Data mining; Lexicon; Muselets; Naive dictionary; Pattern recognition; Topic modeling

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

APA (6th Edition):

Wu, Q. (2018). Statistical Aspects of Music Mining: Naive Dictionary Representation. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9932

Chicago Manual of Style (16th Edition):

Wu, Qiuyi. “Statistical Aspects of Music Mining: Naive Dictionary Representation.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed March 30, 2020. https://scholarworks.rit.edu/theses/9932.

MLA Handbook (7th Edition):

Wu, Qiuyi. “Statistical Aspects of Music Mining: Naive Dictionary Representation.” 2018. Web. 30 Mar 2020.

Vancouver:

Wu Q. Statistical Aspects of Music Mining: Naive Dictionary Representation. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2020 Mar 30]. Available from: https://scholarworks.rit.edu/theses/9932.

Council of Science Editors:

Wu Q. Statistical Aspects of Music Mining: Naive Dictionary Representation. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9932


University of North Texas

28. Hamilton, Scott J. As the Need Presents Itself: Social Identity Theory and Signaling in Online Crowdfunding Campaigns.

Degree: 2019, University of North Texas

 As social interactions increasingly become exclusively online, there is a need for research on the role of identity and social identity in online platforms. Drawing… (more)

Subjects/Keywords: Social Identity Theory; Identity Theory; Signaling Theory; crowdfunding; LSA; topic modeling

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APA (6th Edition):

Hamilton, S. J. (2019). As the Need Presents Itself: Social Identity Theory and Signaling in Online Crowdfunding Campaigns. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1609125/

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):

Hamilton, Scott J. “As the Need Presents Itself: Social Identity Theory and Signaling in Online Crowdfunding Campaigns.” 2019. Thesis, University of North Texas. Accessed March 30, 2020. https://digital.library.unt.edu/ark:/67531/metadc1609125/.

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

MLA Handbook (7th Edition):

Hamilton, Scott J. “As the Need Presents Itself: Social Identity Theory and Signaling in Online Crowdfunding Campaigns.” 2019. Web. 30 Mar 2020.

Vancouver:

Hamilton SJ. As the Need Presents Itself: Social Identity Theory and Signaling in Online Crowdfunding Campaigns. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Mar 30]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1609125/.

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

Council of Science Editors:

Hamilton SJ. As the Need Presents Itself: Social Identity Theory and Signaling in Online Crowdfunding Campaigns. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1609125/

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


Duke University

29. Owens-Oas, Derek. Probabilistic Models for Text in Social Networks .

Degree: 2018, Duke University

  Text in social networks is a common form of data. Common examples include emails between coworkers, text messages in a group chat, or comments… (more)

Subjects/Keywords: Statistics; Bayesian statistics; community detection; event modeling; network visualization; political science; topic modeling

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

APA (6th Edition):

Owens-Oas, D. (2018). Probabilistic Models for Text in Social Networks . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/16902

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):

Owens-Oas, Derek. “Probabilistic Models for Text in Social Networks .” 2018. Thesis, Duke University. Accessed March 30, 2020. http://hdl.handle.net/10161/16902.

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

MLA Handbook (7th Edition):

Owens-Oas, Derek. “Probabilistic Models for Text in Social Networks .” 2018. Web. 30 Mar 2020.

Vancouver:

Owens-Oas D. Probabilistic Models for Text in Social Networks . [Internet] [Thesis]. Duke University; 2018. [cited 2020 Mar 30]. Available from: http://hdl.handle.net/10161/16902.

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

Council of Science Editors:

Owens-Oas D. Probabilistic Models for Text in Social Networks . [Thesis]. Duke University; 2018. Available from: http://hdl.handle.net/10161/16902

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


NSYSU

30. 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 March 30, 2020. 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. 30 Mar 2020.

Vancouver:

Lin B. An Integrated Framework for Identifying Entities Topics and Sentiment from Text. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Mar 30]. 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

[1] [2] [3] [4] [5]

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