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You searched for subject:(topic analysis). Showing records 1 – 30 of 157 total matches.

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University of Rochester

1. Ciminelli, Joseph Thomas. Mixed-Membership and Spatial Models for Social Network Data.

Degree: PhD, 2018, University of Rochester

 Social media outlets have greatly increased the availability, prevalence, and relevance of networking data. Societal norms are characterized by network connections, with people communicating and… (more)

Subjects/Keywords: Topic models; Text analysis

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APA (6th Edition):

Ciminelli, J. T. (2018). Mixed-Membership and Spatial Models for Social Network Data. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/33391

Chicago Manual of Style (16th Edition):

Ciminelli, Joseph Thomas. “Mixed-Membership and Spatial Models for Social Network Data.” 2018. Doctoral Dissertation, University of Rochester. Accessed May 06, 2021. http://hdl.handle.net/1802/33391.

MLA Handbook (7th Edition):

Ciminelli, Joseph Thomas. “Mixed-Membership and Spatial Models for Social Network Data.” 2018. Web. 06 May 2021.

Vancouver:

Ciminelli JT. Mixed-Membership and Spatial Models for Social Network Data. [Internet] [Doctoral dissertation]. University of Rochester; 2018. [cited 2021 May 06]. Available from: http://hdl.handle.net/1802/33391.

Council of Science Editors:

Ciminelli JT. Mixed-Membership and Spatial Models for Social Network Data. [Doctoral Dissertation]. University of Rochester; 2018. Available from: http://hdl.handle.net/1802/33391


University of Canterbury

2. Abey, Rebecca. The statistics of topic modelling.

Degree: MS, Statistics, 2015, University of Canterbury

 This research project aims to provide a clear and concise guide to latent dirichlet allocation which is a form of topic modelling. The aim is… (more)

Subjects/Keywords: statistics; topic modelling; text analysis

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APA (6th Edition):

Abey, R. (2015). The statistics of topic modelling. (Masters Thesis). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/9168

Chicago Manual of Style (16th Edition):

Abey, Rebecca. “The statistics of topic modelling.” 2015. Masters Thesis, University of Canterbury. Accessed May 06, 2021. http://dx.doi.org/10.26021/9168.

MLA Handbook (7th Edition):

Abey, Rebecca. “The statistics of topic modelling.” 2015. Web. 06 May 2021.

Vancouver:

Abey R. The statistics of topic modelling. [Internet] [Masters thesis]. University of Canterbury; 2015. [cited 2021 May 06]. Available from: http://dx.doi.org/10.26021/9168.

Council of Science Editors:

Abey R. The statistics of topic modelling. [Masters Thesis]. University of Canterbury; 2015. Available from: http://dx.doi.org/10.26021/9168


UCLA

3. 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 May 06, 2021. 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. 06 May 2021.

Vancouver:

Cha YC. Probabilistic Topic Models for Graph Mining. [Internet] [Thesis]. UCLA; 2014. [cited 2021 May 06]. 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


Delft University of Technology

4. Liu, J.C.M. (author). Perspective Discovery in Controversial Debates: An exploration of unsupervised topic models.

Degree: 2020, Delft University of Technology

Since the introduction of the Web, online platforms have become a place to share opinions across various domains (e.g., social media platforms, discussion fora or… (more)

Subjects/Keywords: sentiment analysis; controversial debates; topic modelling; joint topic modelling; opinion mining

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APA (6th Edition):

Liu, J. C. M. (. (2020). Perspective Discovery in Controversial Debates: An exploration of unsupervised topic models. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7c09a506-7bc0-4b26-a2f3-5f69ceeb74f4

Chicago Manual of Style (16th Edition):

Liu, J C M (author). “Perspective Discovery in Controversial Debates: An exploration of unsupervised topic models.” 2020. Masters Thesis, Delft University of Technology. Accessed May 06, 2021. http://resolver.tudelft.nl/uuid:7c09a506-7bc0-4b26-a2f3-5f69ceeb74f4.

MLA Handbook (7th Edition):

Liu, J C M (author). “Perspective Discovery in Controversial Debates: An exploration of unsupervised topic models.” 2020. Web. 06 May 2021.

Vancouver:

Liu JCM(. Perspective Discovery in Controversial Debates: An exploration of unsupervised topic models. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 May 06]. Available from: http://resolver.tudelft.nl/uuid:7c09a506-7bc0-4b26-a2f3-5f69ceeb74f4.

Council of Science Editors:

Liu JCM(. Perspective Discovery in Controversial Debates: An exploration of unsupervised topic models. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:7c09a506-7bc0-4b26-a2f3-5f69ceeb74f4


Penn State University

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

Degree: 2011, Penn State University

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Chen, Bi. “Topic Oriented Evolution and Sentiment Analysis.” 2011. Thesis, Penn State University. Accessed May 06, 2021. https://submit-etda.libraries.psu.edu/catalog/11743.

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

MLA Handbook (7th Edition):

Chen, Bi. “Topic Oriented Evolution and Sentiment Analysis.” 2011. Web. 06 May 2021.

Vancouver:

Chen B. Topic Oriented Evolution and Sentiment Analysis. [Internet] [Thesis]. Penn State University; 2011. [cited 2021 May 06]. Available from: https://submit-etda.libraries.psu.edu/catalog/11743.

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

Council of Science Editors:

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

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


Rice University

6. Gaulin, Maclean Peter. Risk Fact or Fiction: The Information Content of Risk Factor Disclosures.

Degree: PhD, Business, 2017, Rice University

 Inconsistent with concerns of uninformative boilerplate or ‘copy and paste’ disclosure, I find that managers time their identification of new risk factors and removal of… (more)

Subjects/Keywords: accounting; risk factor; disclosure; topic analysis

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APA (6th Edition):

Gaulin, M. P. (2017). Risk Fact or Fiction: The Information Content of Risk Factor Disclosures. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/96089

Chicago Manual of Style (16th Edition):

Gaulin, Maclean Peter. “Risk Fact or Fiction: The Information Content of Risk Factor Disclosures.” 2017. Doctoral Dissertation, Rice University. Accessed May 06, 2021. http://hdl.handle.net/1911/96089.

MLA Handbook (7th Edition):

Gaulin, Maclean Peter. “Risk Fact or Fiction: The Information Content of Risk Factor Disclosures.” 2017. Web. 06 May 2021.

Vancouver:

Gaulin MP. Risk Fact or Fiction: The Information Content of Risk Factor Disclosures. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2021 May 06]. Available from: http://hdl.handle.net/1911/96089.

Council of Science Editors:

Gaulin MP. Risk Fact or Fiction: The Information Content of Risk Factor Disclosures. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/96089


Colorado School of Mines

7. Miller, Riley. Topic modeling on Amazon MTurk.

Degree: MS(M.S.), Computer Science, 2020, Colorado School of Mines

 Crowdsourcing is an advancing job market and has been the recent focus of many researchers to help improve crowdsourcing platforms for both crowd workers and… (more)

Subjects/Keywords: analysis; HIT; topic modeling; crowdsourcing; Amazon; MTurk

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APA (6th Edition):

Miller, R. (2020). Topic modeling on Amazon MTurk. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/174131

Chicago Manual of Style (16th Edition):

Miller, Riley. “Topic modeling on Amazon MTurk.” 2020. Masters Thesis, Colorado School of Mines. Accessed May 06, 2021. http://hdl.handle.net/11124/174131.

MLA Handbook (7th Edition):

Miller, Riley. “Topic modeling on Amazon MTurk.” 2020. Web. 06 May 2021.

Vancouver:

Miller R. Topic modeling on Amazon MTurk. [Internet] [Masters thesis]. Colorado School of Mines; 2020. [cited 2021 May 06]. Available from: http://hdl.handle.net/11124/174131.

Council of Science Editors:

Miller R. Topic modeling on Amazon MTurk. [Masters Thesis]. Colorado School of Mines; 2020. Available from: http://hdl.handle.net/11124/174131


Arizona State University

8. Baskaran, Swetha. Enhanced Topic-Based Modeling for Twitter Sentiment Analysis.

Degree: Computer Science, 2016, Arizona State University

 In this thesis multiple approaches are explored to enhance sentiment analysis of tweets. A standard sentiment analysis model with customized features is first trained and… (more)

Subjects/Keywords: Computer science; Topic-based Sentiment Analysis

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APA (6th Edition):

Baskaran, S. (2016). Enhanced Topic-Based Modeling for Twitter Sentiment Analysis. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/40204

Chicago Manual of Style (16th Edition):

Baskaran, Swetha. “Enhanced Topic-Based Modeling for Twitter Sentiment Analysis.” 2016. Masters Thesis, Arizona State University. Accessed May 06, 2021. http://repository.asu.edu/items/40204.

MLA Handbook (7th Edition):

Baskaran, Swetha. “Enhanced Topic-Based Modeling for Twitter Sentiment Analysis.” 2016. Web. 06 May 2021.

Vancouver:

Baskaran S. Enhanced Topic-Based Modeling for Twitter Sentiment Analysis. [Internet] [Masters thesis]. Arizona State University; 2016. [cited 2021 May 06]. Available from: http://repository.asu.edu/items/40204.

Council of Science Editors:

Baskaran S. Enhanced Topic-Based Modeling for Twitter Sentiment Analysis. [Masters Thesis]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/40204


University of Guelph

9. Zhou, Haochen. Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model.

Degree: MS, School of Computer Science, 2014, University of Guelph

 In this research, we apply a generalized topic and syntax model named Part-of-Speech LDA (POSLDA) to sentiment analysis, and propose several feature selection schemes to… (more)

Subjects/Keywords: topic models; Maximum Entropy Classifier; sentiment analysis; topic and syntax models; feature selection

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APA (6th Edition):

Zhou, H. (2014). Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8409

Chicago Manual of Style (16th Edition):

Zhou, Haochen. “Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model.” 2014. Masters Thesis, University of Guelph. Accessed May 06, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8409.

MLA Handbook (7th Edition):

Zhou, Haochen. “Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model.” 2014. Web. 06 May 2021.

Vancouver:

Zhou H. Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model. [Internet] [Masters thesis]. University of Guelph; 2014. [cited 2021 May 06]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8409.

Council of Science Editors:

Zhou H. Aspect-level Sentiment Analysis based on a Generalized Probabilistic Topic and Syntax Model. [Masters Thesis]. University of Guelph; 2014. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8409


Tampere University

10. Huang, Jueran. What can we recommend to game players? - Implementing a system of analyzing game reviews .

Degree: 2018, Tampere University

 With the rapid development of game industry, games take an increasing important role of entertainment in our daily life. With more and more new games… (more)

Subjects/Keywords: text analysis; topic mining; Steam; game review; web crawler; topic mining; software development

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APA (6th Edition):

Huang, J. (2018). What can we recommend to game players? - Implementing a system of analyzing game reviews . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/103668

Chicago Manual of Style (16th Edition):

Huang, Jueran. “What can we recommend to game players? - Implementing a system of analyzing game reviews .” 2018. Masters Thesis, Tampere University. Accessed May 06, 2021. https://trepo.tuni.fi/handle/10024/103668.

MLA Handbook (7th Edition):

Huang, Jueran. “What can we recommend to game players? - Implementing a system of analyzing game reviews .” 2018. Web. 06 May 2021.

Vancouver:

Huang J. What can we recommend to game players? - Implementing a system of analyzing game reviews . [Internet] [Masters thesis]. Tampere University; 2018. [cited 2021 May 06]. Available from: https://trepo.tuni.fi/handle/10024/103668.

Council of Science Editors:

Huang J. What can we recommend to game players? - Implementing a system of analyzing game reviews . [Masters Thesis]. Tampere University; 2018. Available from: https://trepo.tuni.fi/handle/10024/103668


Virginia Tech

11. Chen, Le. Identifying Job Categories and Required Competencies for Instructional Technologist: A Text Mining and Content Analysis.

Degree: PhD, Curriculum and Instruction, 2020, Virginia Tech

 According to Kimmons and Veletsianos (2018), text mining has not been widely applied in the field of instructional technology. This study provides an example of… (more)

Subjects/Keywords: text mining; content analysis; job analysis; competency; T-LAB; topic modeling

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APA (6th Edition):

Chen, L. (2020). Identifying Job Categories and Required Competencies for Instructional Technologist: A Text Mining and Content Analysis. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99279

Chicago Manual of Style (16th Edition):

Chen, Le. “Identifying Job Categories and Required Competencies for Instructional Technologist: A Text Mining and Content Analysis.” 2020. Doctoral Dissertation, Virginia Tech. Accessed May 06, 2021. http://hdl.handle.net/10919/99279.

MLA Handbook (7th Edition):

Chen, Le. “Identifying Job Categories and Required Competencies for Instructional Technologist: A Text Mining and Content Analysis.” 2020. Web. 06 May 2021.

Vancouver:

Chen L. Identifying Job Categories and Required Competencies for Instructional Technologist: A Text Mining and Content Analysis. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 May 06]. Available from: http://hdl.handle.net/10919/99279.

Council of Science Editors:

Chen L. Identifying Job Categories and Required Competencies for Instructional Technologist: A Text Mining and Content Analysis. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99279


Texas State University – San Marcos

12. Nogueira de Moura, Lia. Social Network Analysis At Scale: Graph-based Analysis of Twitter Trends and Communities.

Degree: MS, Computer Science, 2020, Texas State University – San Marcos

 Twitter's influence on society and communication has motivated research work in the past decade. A large percentage of existing research focuses on specific Twitter datasets… (more)

Subjects/Keywords: Social networks; Twitter; Graph analysis; Network analysis; Topic modeling; Topic discovery; Communities; Data management; MongoDB; Semi-structured database; Data science pipeline

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

APA (6th Edition):

Nogueira de Moura, L. (2020). Social Network Analysis At Scale: Graph-based Analysis of Twitter Trends and Communities. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/12933

Chicago Manual of Style (16th Edition):

Nogueira de Moura, Lia. “Social Network Analysis At Scale: Graph-based Analysis of Twitter Trends and Communities.” 2020. Masters Thesis, Texas State University – San Marcos. Accessed May 06, 2021. https://digital.library.txstate.edu/handle/10877/12933.

MLA Handbook (7th Edition):

Nogueira de Moura, Lia. “Social Network Analysis At Scale: Graph-based Analysis of Twitter Trends and Communities.” 2020. Web. 06 May 2021.

Vancouver:

Nogueira de Moura L. Social Network Analysis At Scale: Graph-based Analysis of Twitter Trends and Communities. [Internet] [Masters thesis]. Texas State University – San Marcos; 2020. [cited 2021 May 06]. Available from: https://digital.library.txstate.edu/handle/10877/12933.

Council of Science Editors:

Nogueira de Moura L. Social Network Analysis At Scale: Graph-based Analysis of Twitter Trends and Communities. [Masters Thesis]. Texas State University – San Marcos; 2020. Available from: https://digital.library.txstate.edu/handle/10877/12933


Universiteit Utrecht

13. Buunk, J. Understanding the dynamics of the renewable energy discourse: The framing practices of heterogeneous actors.

Degree: 2016, Universiteit Utrecht

 Integrating renewable energy into the energy system is one of the main challenges countries are facing on their way to reduce the GHG emissions. This… (more)

Subjects/Keywords: Framing; discourse; actors; renewable energy; topic modelling; content analysis

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APA (6th Edition):

Buunk, J. (2016). Understanding the dynamics of the renewable energy discourse: The framing practices of heterogeneous actors. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/328541

Chicago Manual of Style (16th Edition):

Buunk, J. “Understanding the dynamics of the renewable energy discourse: The framing practices of heterogeneous actors.” 2016. Masters Thesis, Universiteit Utrecht. Accessed May 06, 2021. http://dspace.library.uu.nl:8080/handle/1874/328541.

MLA Handbook (7th Edition):

Buunk, J. “Understanding the dynamics of the renewable energy discourse: The framing practices of heterogeneous actors.” 2016. Web. 06 May 2021.

Vancouver:

Buunk J. Understanding the dynamics of the renewable energy discourse: The framing practices of heterogeneous actors. [Internet] [Masters thesis]. Universiteit Utrecht; 2016. [cited 2021 May 06]. Available from: http://dspace.library.uu.nl:8080/handle/1874/328541.

Council of Science Editors:

Buunk J. Understanding the dynamics of the renewable energy discourse: The framing practices of heterogeneous actors. [Masters Thesis]. Universiteit Utrecht; 2016. Available from: http://dspace.library.uu.nl:8080/handle/1874/328541


University of Newcastle

14. Lo, Siaw Ling. Identifying high-value social entities from Twitter with machine learning and multilingual analysis.

Degree: PhD, 2017, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

With the vast amount, multilingual and real-time nature of social media data, it is challenging to extract relevant… (more)

Subjects/Keywords: text mining; machine learning; multilingual analysis; target audience profiling; topic identification

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APA (6th Edition):

Lo, S. L. (2017). Identifying high-value social entities from Twitter with machine learning and multilingual analysis. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1335881

Chicago Manual of Style (16th Edition):

Lo, Siaw Ling. “Identifying high-value social entities from Twitter with machine learning and multilingual analysis.” 2017. Doctoral Dissertation, University of Newcastle. Accessed May 06, 2021. http://hdl.handle.net/1959.13/1335881.

MLA Handbook (7th Edition):

Lo, Siaw Ling. “Identifying high-value social entities from Twitter with machine learning and multilingual analysis.” 2017. Web. 06 May 2021.

Vancouver:

Lo SL. Identifying high-value social entities from Twitter with machine learning and multilingual analysis. [Internet] [Doctoral dissertation]. University of Newcastle; 2017. [cited 2021 May 06]. Available from: http://hdl.handle.net/1959.13/1335881.

Council of Science Editors:

Lo SL. Identifying high-value social entities from Twitter with machine learning and multilingual analysis. [Doctoral Dissertation]. University of Newcastle; 2017. Available from: http://hdl.handle.net/1959.13/1335881


NSYSU

15. 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 (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 May 06, 2021. 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. 06 May 2021.

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 2021 May 06]. 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

16. Bartolome, Abigail Joy. Describing Trail Cultures through Studying Trail Stakeholders and Analyzing their Tweets.

Degree: MS, Computer Science and Applications, 2018, Virginia Tech

 While many people enjoy hiking as a weekend activity, to many outdoor enthusiasts there is a hiking culture with which they feel affiliated. However, the… (more)

Subjects/Keywords: Hikers; Natural language processing; Topic analysis; Twitter; Technology on the trail

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APA (6th Edition):

Bartolome, A. J. (2018). Describing Trail Cultures through Studying Trail Stakeholders and Analyzing their Tweets. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84528

Chicago Manual of Style (16th Edition):

Bartolome, Abigail Joy. “Describing Trail Cultures through Studying Trail Stakeholders and Analyzing their Tweets.” 2018. Masters Thesis, Virginia Tech. Accessed May 06, 2021. http://hdl.handle.net/10919/84528.

MLA Handbook (7th Edition):

Bartolome, Abigail Joy. “Describing Trail Cultures through Studying Trail Stakeholders and Analyzing their Tweets.” 2018. Web. 06 May 2021.

Vancouver:

Bartolome AJ. Describing Trail Cultures through Studying Trail Stakeholders and Analyzing their Tweets. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2021 May 06]. Available from: http://hdl.handle.net/10919/84528.

Council of Science Editors:

Bartolome AJ. Describing Trail Cultures through Studying Trail Stakeholders and Analyzing their Tweets. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/84528


University of New Mexico

17. Skinner, Jason. Bibliometrics and Social Network Analysis of Doctoral Research: Research Trends In Distance Learning.

Degree: Organization, Information & Learning Sciences, 2016, University of New Mexico

 The study investigated research topics of doctoral dissertations that examined issues in distance learning from 2000-2014. Twelve reviews of research on distance learning, spanning from… (more)

Subjects/Keywords: Distance Learning; Dissertations; Research Topic; Social Network Analysis; Distance Education

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

APA (6th Edition):

Skinner, J. (2016). Bibliometrics and Social Network Analysis of Doctoral Research: Research Trends In Distance Learning. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/31744

Chicago Manual of Style (16th Edition):

Skinner, Jason. “Bibliometrics and Social Network Analysis of Doctoral Research: Research Trends In Distance Learning.” 2016. Doctoral Dissertation, University of New Mexico. Accessed May 06, 2021. http://hdl.handle.net/1928/31744.

MLA Handbook (7th Edition):

Skinner, Jason. “Bibliometrics and Social Network Analysis of Doctoral Research: Research Trends In Distance Learning.” 2016. Web. 06 May 2021.

Vancouver:

Skinner J. Bibliometrics and Social Network Analysis of Doctoral Research: Research Trends In Distance Learning. [Internet] [Doctoral dissertation]. University of New Mexico; 2016. [cited 2021 May 06]. Available from: http://hdl.handle.net/1928/31744.

Council of Science Editors:

Skinner J. Bibliometrics and Social Network Analysis of Doctoral Research: Research Trends In Distance Learning. [Doctoral Dissertation]. University of New Mexico; 2016. Available from: http://hdl.handle.net/1928/31744


University of Vienna

18. Tretzmüller, Markus. Exploiting short-text topic modelling in application of cryptocurrency price prediction.

Degree: 2019, University of Vienna

Während sich der Trend um alternative Daten in der Finanzindustrie fortsetzt, wurde die Messung öffentlicher Meinungen zu einem populären Forschungsgebiet. Die Herausforderung besteht darin, Meinungen,… (more)

Subjects/Keywords: 54.82 Textverarbeitung; 54.72 Künstliche Intelligenz; Themen-Modellierung / Sentiment-Analyse / NLP / BTM; Topic Modelling / Topic Modeling / Sentiment Analysis / NLP / BTM

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

APA (6th Edition):

Tretzmüller, M. (2019). Exploiting short-text topic modelling in application of cryptocurrency price prediction. (Thesis). University of Vienna. Retrieved from http://othes.univie.ac.at/60117/

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):

Tretzmüller, Markus. “Exploiting short-text topic modelling in application of cryptocurrency price prediction.” 2019. Thesis, University of Vienna. Accessed May 06, 2021. http://othes.univie.ac.at/60117/.

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

MLA Handbook (7th Edition):

Tretzmüller, Markus. “Exploiting short-text topic modelling in application of cryptocurrency price prediction.” 2019. Web. 06 May 2021.

Vancouver:

Tretzmüller M. Exploiting short-text topic modelling in application of cryptocurrency price prediction. [Internet] [Thesis]. University of Vienna; 2019. [cited 2021 May 06]. Available from: http://othes.univie.ac.at/60117/.

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

Council of Science Editors:

Tretzmüller M. Exploiting short-text topic modelling in application of cryptocurrency price prediction. [Thesis]. University of Vienna; 2019. Available from: http://othes.univie.ac.at/60117/

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


NSYSU

19. 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 May 06, 2021. 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. 06 May 2021.

Vancouver:

Lin B. An Integrated Framework for Identifying Entities Topics and Sentiment from Text. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 May 06]. 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


University of Exeter

20. 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 https://ore.exeter.ac.uk/repository/handle/10036/3307 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546994

Chicago Manual of Style (16th Edition):

Chenghua, Lin. “Probabilistic topic models for sentiment analysis on the Web.” 2011. Doctoral Dissertation, University of Exeter. Accessed May 06, 2021. https://ore.exeter.ac.uk/repository/handle/10036/3307 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546994.

MLA Handbook (7th Edition):

Chenghua, Lin. “Probabilistic topic models for sentiment analysis on the Web.” 2011. Web. 06 May 2021.

Vancouver:

Chenghua L. Probabilistic topic models for sentiment analysis on the Web. [Internet] [Doctoral dissertation]. University of Exeter; 2011. [cited 2021 May 06]. Available from: https://ore.exeter.ac.uk/repository/handle/10036/3307 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546994.

Council of Science Editors:

Chenghua L. Probabilistic topic models for sentiment analysis on the Web. [Doctoral Dissertation]. University of Exeter; 2011. Available from: https://ore.exeter.ac.uk/repository/handle/10036/3307 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546994


University of Toronto

21. Safari, Kasra. Machine Learning for Topic Classification and Prediction on Twitter.

Degree: 2019, University of Toronto

The rise of social media networks such as Twitter presents us with a massively distributed portal of information covering every topic from social and political… (more)

Subjects/Keywords: Information Retrieval; Machine Learning; Popularity Prediction; Social Media Analysis; Time Series Analysis; Topic Classification; 0546

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

APA (6th Edition):

Safari, K. (2019). Machine Learning for Topic Classification and Prediction on Twitter. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/98339

Chicago Manual of Style (16th Edition):

Safari, Kasra. “Machine Learning for Topic Classification and Prediction on Twitter.” 2019. Masters Thesis, University of Toronto. Accessed May 06, 2021. http://hdl.handle.net/1807/98339.

MLA Handbook (7th Edition):

Safari, Kasra. “Machine Learning for Topic Classification and Prediction on Twitter.” 2019. Web. 06 May 2021.

Vancouver:

Safari K. Machine Learning for Topic Classification and Prediction on Twitter. [Internet] [Masters thesis]. University of Toronto; 2019. [cited 2021 May 06]. Available from: http://hdl.handle.net/1807/98339.

Council of Science Editors:

Safari K. Machine Learning for Topic Classification and Prediction on Twitter. [Masters Thesis]. University of Toronto; 2019. Available from: http://hdl.handle.net/1807/98339


University of Oregon

22. Kramer, Stephanie. Holy day effects on language: How religious geography, individual affiliation and day of the week relate to sentiment and topics on Twitter.

Degree: PhD, Department of Psychology, 2018, University of Oregon

 Religious belief and attendance predict improved well-being at the individual level. Paradoxically, geographic locations with high rates of religious belief and attendance are often those… (more)

Subjects/Keywords: Religious affiliation; Sentiment analysis; Structural topic modeling; Text analysis; Twitter; Well-being

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

APA (6th Edition):

Kramer, S. (2018). Holy day effects on language: How religious geography, individual affiliation and day of the week relate to sentiment and topics on Twitter. (Doctoral Dissertation). University of Oregon. Retrieved from http://hdl.handle.net/1794/23106

Chicago Manual of Style (16th Edition):

Kramer, Stephanie. “Holy day effects on language: How religious geography, individual affiliation and day of the week relate to sentiment and topics on Twitter.” 2018. Doctoral Dissertation, University of Oregon. Accessed May 06, 2021. http://hdl.handle.net/1794/23106.

MLA Handbook (7th Edition):

Kramer, Stephanie. “Holy day effects on language: How religious geography, individual affiliation and day of the week relate to sentiment and topics on Twitter.” 2018. Web. 06 May 2021.

Vancouver:

Kramer S. Holy day effects on language: How religious geography, individual affiliation and day of the week relate to sentiment and topics on Twitter. [Internet] [Doctoral dissertation]. University of Oregon; 2018. [cited 2021 May 06]. Available from: http://hdl.handle.net/1794/23106.

Council of Science Editors:

Kramer S. Holy day effects on language: How religious geography, individual affiliation and day of the week relate to sentiment and topics on Twitter. [Doctoral Dissertation]. University of Oregon; 2018. Available from: http://hdl.handle.net/1794/23106


Delft University of Technology

23. Koks, Iris (author). Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence.

Degree: 2019, Delft University of Technology

In today's digital world, customers give their opinions on a product that they have purchased online in the form of reviews. The industry is interested… (more)

Subjects/Keywords: Latent Dirichlet Allocation; Topic modelling; Sentiment analysis; Review analysis; Opinion Mining; Hierarchical Bayesian inference

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

APA (6th Edition):

Koks, I. (. (2019). Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:faa7cd3f-a946-4685-a36e-d01a15c4159e

Chicago Manual of Style (16th Edition):

Koks, Iris (author). “Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence.” 2019. Masters Thesis, Delft University of Technology. Accessed May 06, 2021. http://resolver.tudelft.nl/uuid:faa7cd3f-a946-4685-a36e-d01a15c4159e.

MLA Handbook (7th Edition):

Koks, Iris (author). “Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence.” 2019. Web. 06 May 2021.

Vancouver:

Koks I(. Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 May 06]. Available from: http://resolver.tudelft.nl/uuid:faa7cd3f-a946-4685-a36e-d01a15c4159e.

Council of Science Editors:

Koks I(. Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:faa7cd3f-a946-4685-a36e-d01a15c4159e


NSYSU

24. Wu, Chuan-Yi. LDA-based Group Recommendation on Documents.

Degree: Master, Information Management, 2013, NSYSU

 With the emergence of Internet, there is more and more information disseminating all over this channel. The abundant amount of information, however, causes difficulty for… (more)

Subjects/Keywords: collaborative filtering; group recommendation; content-based filtering; recommender systems; latent Dirichlet allocation; hidden topic analysis

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

APA (6th Edition):

Wu, C. (2013). LDA-based Group Recommendation on Documents. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016

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):

Wu, Chuan-Yi. “LDA-based Group Recommendation on Documents.” 2013. Thesis, NSYSU. Accessed May 06, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016.

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

MLA Handbook (7th Edition):

Wu, Chuan-Yi. “LDA-based Group Recommendation on Documents.” 2013. Web. 06 May 2021.

Vancouver:

Wu C. LDA-based Group Recommendation on Documents. [Internet] [Thesis]. NSYSU; 2013. [cited 2021 May 06]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016.

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

Council of Science Editors:

Wu C. LDA-based Group Recommendation on Documents. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016

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


NSYSU

25. Chandeewanta, Sarawut. An indepth study on the literary works Of Master Xu Di - shan.

Degree: Master, Chinese Literature, 2012, NSYSU

 ABSTRACT From early the 20th century, luo hua sheng (è½è¯ç) has contributed a lot to the development of modern Chinese literature: fiction, essays, poetry, plays,… (more)

Subjects/Keywords: Analysis of novel structures; Actantial model; Xu di shan; Binary oppositions; Topic classification

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

APA (6th Edition):

Chandeewanta, S. (2012). An indepth study on the literary works Of Master Xu Di - shan. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0913112-115352

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):

Chandeewanta, Sarawut. “An indepth study on the literary works Of Master Xu Di - shan.” 2012. Thesis, NSYSU. Accessed May 06, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0913112-115352.

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

MLA Handbook (7th Edition):

Chandeewanta, Sarawut. “An indepth study on the literary works Of Master Xu Di - shan.” 2012. Web. 06 May 2021.

Vancouver:

Chandeewanta S. An indepth study on the literary works Of Master Xu Di - shan. [Internet] [Thesis]. NSYSU; 2012. [cited 2021 May 06]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0913112-115352.

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

Council of Science Editors:

Chandeewanta S. An indepth study on the literary works Of Master Xu Di - shan. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0913112-115352

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


NSYSU

26. Chen, Li-Zen. Personalized Document Recommendation by Latent Dirichlet Allocation.

Degree: Master, Information Management, 2012, NSYSU

 Accompanying with the rapid growth of Internet, people around the world can easily distribute, browse, and share as much information as possible through the Internet.… (more)

Subjects/Keywords: recommender systems; collaborative filtering; hidden topic analysis; latent Dirichlet allocation; content-based filtering

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

APA (6th Edition):

Chen, L. (2012). Personalized Document Recommendation by Latent Dirichlet Allocation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905

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, Li-Zen. “Personalized Document Recommendation by Latent Dirichlet Allocation.” 2012. Thesis, NSYSU. Accessed May 06, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905.

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

MLA Handbook (7th Edition):

Chen, Li-Zen. “Personalized Document Recommendation by Latent Dirichlet Allocation.” 2012. Web. 06 May 2021.

Vancouver:

Chen L. Personalized Document Recommendation by Latent Dirichlet Allocation. [Internet] [Thesis]. NSYSU; 2012. [cited 2021 May 06]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905.

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

Council of Science Editors:

Chen L. Personalized Document Recommendation by Latent Dirichlet Allocation. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905

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


Penn State University

27. Zeng, Ke. measurement study of user feedback in mobile app stores.

Degree: 2014, Penn State University

 User feedback is an important component for mobile app markets such as Apple App Store, because it is a crucial factor in determining popularity as… (more)

Subjects/Keywords: mobile app stores; user rating and comments; review spam detection; user feedback analysis; topic model

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

APA (6th Edition):

Zeng, K. (2014). measurement study of user feedback in mobile app stores. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/23691

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):

Zeng, Ke. “measurement study of user feedback in mobile app stores.” 2014. Thesis, Penn State University. Accessed May 06, 2021. https://submit-etda.libraries.psu.edu/catalog/23691.

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

MLA Handbook (7th Edition):

Zeng, Ke. “measurement study of user feedback in mobile app stores.” 2014. Web. 06 May 2021.

Vancouver:

Zeng K. measurement study of user feedback in mobile app stores. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 May 06]. Available from: https://submit-etda.libraries.psu.edu/catalog/23691.

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

Council of Science Editors:

Zeng K. measurement study of user feedback in mobile app stores. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/23691

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


University of Manchester

28. Abercrombie, Gavin. Topic-centric sentiment analysis of UK parliamentary debates.

Degree: PhD, 2021, University of Manchester

 Parliamentary debate speeches provide access to the opinions and policy positions expressed by politicians towards many important topics. This information is of interest to citizens… (more)

Subjects/Keywords: civic technology; natural language processing; parliamentary debates; stance detection; sentiment analysis; topic detection

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

APA (6th Edition):

Abercrombie, G. (2021). Topic-centric sentiment analysis of UK parliamentary debates. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/topiccentric-sentiment-analysis-of-uk-parliamentary-debates(14e98e4b-5dfc-4834-b782-87b1989b0317).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.825917

Chicago Manual of Style (16th Edition):

Abercrombie, Gavin. “Topic-centric sentiment analysis of UK parliamentary debates.” 2021. Doctoral Dissertation, University of Manchester. Accessed May 06, 2021. https://www.research.manchester.ac.uk/portal/en/theses/topiccentric-sentiment-analysis-of-uk-parliamentary-debates(14e98e4b-5dfc-4834-b782-87b1989b0317).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.825917.

MLA Handbook (7th Edition):

Abercrombie, Gavin. “Topic-centric sentiment analysis of UK parliamentary debates.” 2021. Web. 06 May 2021.

Vancouver:

Abercrombie G. Topic-centric sentiment analysis of UK parliamentary debates. [Internet] [Doctoral dissertation]. University of Manchester; 2021. [cited 2021 May 06]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/topiccentric-sentiment-analysis-of-uk-parliamentary-debates(14e98e4b-5dfc-4834-b782-87b1989b0317).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.825917.

Council of Science Editors:

Abercrombie G. Topic-centric sentiment analysis of UK parliamentary debates. [Doctoral Dissertation]. University of Manchester; 2021. Available from: https://www.research.manchester.ac.uk/portal/en/theses/topiccentric-sentiment-analysis-of-uk-parliamentary-debates(14e98e4b-5dfc-4834-b782-87b1989b0317).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.825917


NSYSU

29. Lee, Cheng-Chieh. The Research of Social Listening Technology Applied in Enterprise Emergency Reaction.

Degree: Master, EMBA, 2018, NSYSU

 The online electronic media has strong influence on peopleâs opinions and their daily lives. This is especially true in Taiwan as Taiwanâs internet coverage and… (more)

Subjects/Keywords: Social Listening; Enterprise Emergency Management Mechanism; Text Mining; Topic Clustering; Sentiment Analysis

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

APA (6th Edition):

Lee, C. (2018). The Research of Social Listening Technology Applied in Enterprise Emergency Reaction. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518118-185706

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):

Lee, Cheng-Chieh. “The Research of Social Listening Technology Applied in Enterprise Emergency Reaction.” 2018. Thesis, NSYSU. Accessed May 06, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518118-185706.

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

MLA Handbook (7th Edition):

Lee, Cheng-Chieh. “The Research of Social Listening Technology Applied in Enterprise Emergency Reaction.” 2018. Web. 06 May 2021.

Vancouver:

Lee C. The Research of Social Listening Technology Applied in Enterprise Emergency Reaction. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 May 06]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518118-185706.

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

Council of Science Editors:

Lee C. The Research of Social Listening Technology Applied in Enterprise Emergency Reaction. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518118-185706

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


KTH

30. Norsten, Theodor. Exploring the Potential of Twitter Data and Natural Language Processing Techniques to Understand the Usage of Parks in Stockholm.

Degree: Geoinformatics, 2020, KTH

Traditional methods used to investigate the usage of parks consists of questionnaire which is both a very time- and- resource consuming method. Today more… (more)

Subjects/Keywords: Natural Language Processing; Sentiment analysis; Topic modeling; Twitter; VADER; LDA; Other Social Sciences; Annan samhällsvetenskap

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APA (6th Edition):

Norsten, T. (2020). Exploring the Potential of Twitter Data and Natural Language Processing Techniques to Understand the Usage of Parks in Stockholm. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278532

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):

Norsten, Theodor. “Exploring the Potential of Twitter Data and Natural Language Processing Techniques to Understand the Usage of Parks in Stockholm.” 2020. Thesis, KTH. Accessed May 06, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278532.

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

MLA Handbook (7th Edition):

Norsten, Theodor. “Exploring the Potential of Twitter Data and Natural Language Processing Techniques to Understand the Usage of Parks in Stockholm.” 2020. Web. 06 May 2021.

Vancouver:

Norsten T. Exploring the Potential of Twitter Data and Natural Language Processing Techniques to Understand the Usage of Parks in Stockholm. [Internet] [Thesis]. KTH; 2020. [cited 2021 May 06]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278532.

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

Council of Science Editors:

Norsten T. Exploring the Potential of Twitter Data and Natural Language Processing Techniques to Understand the Usage of Parks in Stockholm. [Thesis]. KTH; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278532

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

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