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You searched for subject:(sentiment analysis). Showing records 1 – 30 of 332 total matches.

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University of Waterloo

1. Jiao, Yuwei. Affect Lexicon Induction For the Github Subculture Using Distributed Word Representations.

Degree: 2018, University of Waterloo

 Sentiments and emotions play essential roles in small group interactions, especially in self-organized collaborative groups. Many people view sentiments as universal constructs; however, cultural differences… (more)

Subjects/Keywords: sentiment analysis

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

APA (6th Edition):

Jiao, Y. (2018). Affect Lexicon Induction For the Github Subculture Using Distributed Word Representations. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14108

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):

Jiao, Yuwei. “Affect Lexicon Induction For the Github Subculture Using Distributed Word Representations.” 2018. Thesis, University of Waterloo. Accessed January 18, 2020. http://hdl.handle.net/10012/14108.

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

MLA Handbook (7th Edition):

Jiao, Yuwei. “Affect Lexicon Induction For the Github Subculture Using Distributed Word Representations.” 2018. Web. 18 Jan 2020.

Vancouver:

Jiao Y. Affect Lexicon Induction For the Github Subculture Using Distributed Word Representations. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/10012/14108.

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

Council of Science Editors:

Jiao Y. Affect Lexicon Induction For the Github Subculture Using Distributed Word Representations. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/14108

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


San Jose State University

2. Grossfeld, Elena. Evaluating the Contribution of Hashtags to Sentiment Analysis of Microblogs.

Degree: MA, Linguistics, 2012, San Jose State University

  Microblogging has become the new and informal venue for communication and a main source of news and information for millions of users who subscribe… (more)

Subjects/Keywords: analysis; hashtag; microblog; sentiment; sentiment analysis; Twitter

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

APA (6th Edition):

Grossfeld, E. (2012). Evaluating the Contribution of Hashtags to Sentiment Analysis of Microblogs. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.4fjb-3yzw ; https://scholarworks.sjsu.edu/etd_theses/4234

Chicago Manual of Style (16th Edition):

Grossfeld, Elena. “Evaluating the Contribution of Hashtags to Sentiment Analysis of Microblogs.” 2012. Masters Thesis, San Jose State University. Accessed January 18, 2020. https://doi.org/10.31979/etd.4fjb-3yzw ; https://scholarworks.sjsu.edu/etd_theses/4234.

MLA Handbook (7th Edition):

Grossfeld, Elena. “Evaluating the Contribution of Hashtags to Sentiment Analysis of Microblogs.” 2012. Web. 18 Jan 2020.

Vancouver:

Grossfeld E. Evaluating the Contribution of Hashtags to Sentiment Analysis of Microblogs. [Internet] [Masters thesis]. San Jose State University; 2012. [cited 2020 Jan 18]. Available from: https://doi.org/10.31979/etd.4fjb-3yzw ; https://scholarworks.sjsu.edu/etd_theses/4234.

Council of Science Editors:

Grossfeld E. Evaluating the Contribution of Hashtags to Sentiment Analysis of Microblogs. [Masters Thesis]. San Jose State University; 2012. Available from: https://doi.org/10.31979/etd.4fjb-3yzw ; https://scholarworks.sjsu.edu/etd_theses/4234


Cornell University

3. Yessenalina, Ainur. Exploiting Structure For Sentiment Classification .

Degree: 2012, Cornell University

 This thesis studies the problem of sentiment classification at both the document and sentence level using statistical learning methods. In particular, we develop computational models… (more)

Subjects/Keywords: sentiment classification; sentiment analysis; natural language processing

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APA (6th Edition):

Yessenalina, A. (2012). Exploiting Structure For Sentiment Classification . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/30982

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):

Yessenalina, Ainur. “Exploiting Structure For Sentiment Classification .” 2012. Thesis, Cornell University. Accessed January 18, 2020. http://hdl.handle.net/1813/30982.

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

MLA Handbook (7th Edition):

Yessenalina, Ainur. “Exploiting Structure For Sentiment Classification .” 2012. Web. 18 Jan 2020.

Vancouver:

Yessenalina A. Exploiting Structure For Sentiment Classification . [Internet] [Thesis]. Cornell University; 2012. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/1813/30982.

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

Council of Science Editors:

Yessenalina A. Exploiting Structure For Sentiment Classification . [Thesis]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/30982

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


University of Manchester

4. Qin, Zhenxin. A Framework and practical implementation for sentiment analysis and aspect exploration.

Degree: 2017, University of Manchester

 With the upsurge of Web 2.0, customers are able to share their opinions and feelings about products and services, politics, economic shifts, current events and… (more)

Subjects/Keywords: Sentiment analysis; aspect analysis

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

APA (6th Edition):

Qin, Z. (2017). A Framework and practical implementation for sentiment analysis and aspect exploration. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:308707

Chicago Manual of Style (16th Edition):

Qin, Zhenxin. “A Framework and practical implementation for sentiment analysis and aspect exploration.” 2017. Doctoral Dissertation, University of Manchester. Accessed January 18, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:308707.

MLA Handbook (7th Edition):

Qin, Zhenxin. “A Framework and practical implementation for sentiment analysis and aspect exploration.” 2017. Web. 18 Jan 2020.

Vancouver:

Qin Z. A Framework and practical implementation for sentiment analysis and aspect exploration. [Internet] [Doctoral dissertation]. University of Manchester; 2017. [cited 2020 Jan 18]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:308707.

Council of Science Editors:

Qin Z. A Framework and practical implementation for sentiment analysis and aspect exploration. [Doctoral Dissertation]. University of Manchester; 2017. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:308707


University of Manchester

5. Qin, Zhenxin. A framework and practical implementation for sentiment analysis and aspect exploration.

Degree: PhD, 2017, University of Manchester

 With the upsurge of Web 2.0, customers are able to share their opinions and feelings about products and services, politics, economic shifts, current events and… (more)

Subjects/Keywords: 658.8; aspect analysis; Sentiment analysis

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

APA (6th Edition):

Qin, Z. (2017). A framework and practical implementation for sentiment analysis and aspect exploration. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/a-framework-and-practical-implementation-for-sentiment-analysis-and-aspect-exploration(9232414e-a366-403c-8359-d43bfee7a267).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.713638

Chicago Manual of Style (16th Edition):

Qin, Zhenxin. “A framework and practical implementation for sentiment analysis and aspect exploration.” 2017. Doctoral Dissertation, University of Manchester. Accessed January 18, 2020. https://www.research.manchester.ac.uk/portal/en/theses/a-framework-and-practical-implementation-for-sentiment-analysis-and-aspect-exploration(9232414e-a366-403c-8359-d43bfee7a267).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.713638.

MLA Handbook (7th Edition):

Qin, Zhenxin. “A framework and practical implementation for sentiment analysis and aspect exploration.” 2017. Web. 18 Jan 2020.

Vancouver:

Qin Z. A framework and practical implementation for sentiment analysis and aspect exploration. [Internet] [Doctoral dissertation]. University of Manchester; 2017. [cited 2020 Jan 18]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/a-framework-and-practical-implementation-for-sentiment-analysis-and-aspect-exploration(9232414e-a366-403c-8359-d43bfee7a267).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.713638.

Council of Science Editors:

Qin Z. A framework and practical implementation for sentiment analysis and aspect exploration. [Doctoral Dissertation]. University of Manchester; 2017. Available from: https://www.research.manchester.ac.uk/portal/en/theses/a-framework-and-practical-implementation-for-sentiment-analysis-and-aspect-exploration(9232414e-a366-403c-8359-d43bfee7a267).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.713638


University of Nairobi

6. Gitau, Eric. An approach for using twitter to perform sentiment analysis in Kenya .

Degree: 2011, University of Nairobi

 The interest in sentiment analysis as a research area has become increasingly popular with the development of new social interaction technologies. Twitter, being one of… (more)

Subjects/Keywords: twitter; sentiment analysis; Kenya

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

APA (6th Edition):

Gitau, E. (2011). An approach for using twitter to perform sentiment analysis in Kenya . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10196

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):

Gitau, Eric. “An approach for using twitter to perform sentiment analysis in Kenya .” 2011. Thesis, University of Nairobi. Accessed January 18, 2020. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10196.

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

MLA Handbook (7th Edition):

Gitau, Eric. “An approach for using twitter to perform sentiment analysis in Kenya .” 2011. Web. 18 Jan 2020.

Vancouver:

Gitau E. An approach for using twitter to perform sentiment analysis in Kenya . [Internet] [Thesis]. University of Nairobi; 2011. [cited 2020 Jan 18]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10196.

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

Council of Science Editors:

Gitau E. An approach for using twitter to perform sentiment analysis in Kenya . [Thesis]. University of Nairobi; 2011. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10196

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

7. Yoshida, Yasuhisa. Transfer Learning for Multiple-Domain Sentiment Analysis : 複数分野間における評判分析のための転移学習; フクスウ ブンヤカン ニ オケル ヒョウバン ブンセキ ノ タメ ノ テンイ ガクシュウ.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

Subjects/Keywords: sentiment analysis

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APA (6th Edition):

Yoshida, Y. (n.d.). Transfer Learning for Multiple-Domain Sentiment Analysis : 複数分野間における評判分析のための転移学習; フクスウ ブンヤカン ニ オケル ヒョウバン ブンセキ ノ タメ ノ テンイ ガクシュウ. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/7603

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yoshida, Yasuhisa. “Transfer Learning for Multiple-Domain Sentiment Analysis : 複数分野間における評判分析のための転移学習; フクスウ ブンヤカン ニ オケル ヒョウバン ブンセキ ノ タメ ノ テンイ ガクシュウ.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed January 18, 2020. http://hdl.handle.net/10061/7603.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yoshida, Yasuhisa. “Transfer Learning for Multiple-Domain Sentiment Analysis : 複数分野間における評判分析のための転移学習; フクスウ ブンヤカン ニ オケル ヒョウバン ブンセキ ノ タメ ノ テンイ ガクシュウ.” Web. 18 Jan 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Yoshida Y. Transfer Learning for Multiple-Domain Sentiment Analysis : 複数分野間における評判分析のための転移学習; フクスウ ブンヤカン ニ オケル ヒョウバン ブンセキ ノ タメ ノ テンイ ガクシュウ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2020 Jan 18]. Available from: http://hdl.handle.net/10061/7603.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Yoshida Y. Transfer Learning for Multiple-Domain Sentiment Analysis : 複数分野間における評判分析のための転移学習; フクスウ ブンヤカン ニ オケル ヒョウバン ブンセキ ノ タメ ノ テンイ ガクシュウ. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/7603

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Delft University of Technology

8. Visser, P. “What do they say about us on Twitter?”: Hybrid sentiment retrieval for organisations:.

Degree: 2013, Delft University of Technology

 We conclude this report with a system design and proof-of-concept to show how an adaptable hybrid sentiment classification system is able to improve sentiment analysis(more)

Subjects/Keywords: sentiment analysis; hybrid classification

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

APA (6th Edition):

Visser, P. (2013). “What do they say about us on Twitter?”: Hybrid sentiment retrieval for organisations:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f61f53fe-86bd-426d-8843-1e67d1141bdd

Chicago Manual of Style (16th Edition):

Visser, P. ““What do they say about us on Twitter?”: Hybrid sentiment retrieval for organisations:.” 2013. Masters Thesis, Delft University of Technology. Accessed January 18, 2020. http://resolver.tudelft.nl/uuid:f61f53fe-86bd-426d-8843-1e67d1141bdd.

MLA Handbook (7th Edition):

Visser, P. ““What do they say about us on Twitter?”: Hybrid sentiment retrieval for organisations:.” 2013. Web. 18 Jan 2020.

Vancouver:

Visser P. “What do they say about us on Twitter?”: Hybrid sentiment retrieval for organisations:. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2020 Jan 18]. Available from: http://resolver.tudelft.nl/uuid:f61f53fe-86bd-426d-8843-1e67d1141bdd.

Council of Science Editors:

Visser P. “What do they say about us on Twitter?”: Hybrid sentiment retrieval for organisations:. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:f61f53fe-86bd-426d-8843-1e67d1141bdd


University of Ottawa

9. Poursepanj, Hamid. Sentiment Analysis of Data from Online Forums on the Newborn Genome Sequencing .

Degree: 2015, University of Ottawa

 In this thesis, we classified user comments posted on online forums related to “Newborn Genome Sequencing” (NGS). User comments were annotated as irrelevant, positive, negative,… (more)

Subjects/Keywords: Sentiment Analysis; Newborn Genome Sequencing

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APA (6th Edition):

Poursepanj, H. (2015). Sentiment Analysis of Data from Online Forums on the Newborn Genome Sequencing . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/32393

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):

Poursepanj, Hamid. “Sentiment Analysis of Data from Online Forums on the Newborn Genome Sequencing .” 2015. Thesis, University of Ottawa. Accessed January 18, 2020. http://hdl.handle.net/10393/32393.

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

MLA Handbook (7th Edition):

Poursepanj, Hamid. “Sentiment Analysis of Data from Online Forums on the Newborn Genome Sequencing .” 2015. Web. 18 Jan 2020.

Vancouver:

Poursepanj H. Sentiment Analysis of Data from Online Forums on the Newborn Genome Sequencing . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/10393/32393.

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

Council of Science Editors:

Poursepanj H. Sentiment Analysis of Data from Online Forums on the Newborn Genome Sequencing . [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/32393

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


California State University – Sacramento

10. Kaur, Savleen. Opinion mining on social media.

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

 The opinions and sentiments behind all the posts, comments and statuses shared on social media nowadays can be considered as a useful indicator for many… (more)

Subjects/Keywords: Twitter; Sentiment analysis; Data mining

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APA (6th Edition):

Kaur, S. (2017). Opinion mining on social media. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/190550

Chicago Manual of Style (16th Edition):

Kaur, Savleen. “Opinion mining on social media.” 2017. Masters Thesis, California State University – Sacramento. Accessed January 18, 2020. http://hdl.handle.net/10211.3/190550.

MLA Handbook (7th Edition):

Kaur, Savleen. “Opinion mining on social media.” 2017. Web. 18 Jan 2020.

Vancouver:

Kaur S. Opinion mining on social media. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/10211.3/190550.

Council of Science Editors:

Kaur S. Opinion mining on social media. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/190550


University of Guelph

11. Stantic, Daniel. A Unified Probabilistic Model for Aspect-Level Sentiment Analysis .

Degree: 2016, University of Guelph

 In this thesis, we develop a new probabilistic model for aspect-level sentiment analysis based on POSLDA, a topic classifier that incorporates syntax modelling for better… (more)

Subjects/Keywords: natural language processing; sentiment analysis

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

APA (6th Edition):

Stantic, D. (2016). A Unified Probabilistic Model for Aspect-Level Sentiment Analysis . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9616

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):

Stantic, Daniel. “A Unified Probabilistic Model for Aspect-Level Sentiment Analysis .” 2016. Thesis, University of Guelph. Accessed January 18, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9616.

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

MLA Handbook (7th Edition):

Stantic, Daniel. “A Unified Probabilistic Model for Aspect-Level Sentiment Analysis .” 2016. Web. 18 Jan 2020.

Vancouver:

Stantic D. A Unified Probabilistic Model for Aspect-Level Sentiment Analysis . [Internet] [Thesis]. University of Guelph; 2016. [cited 2020 Jan 18]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9616.

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

Council of Science Editors:

Stantic D. A Unified Probabilistic Model for Aspect-Level Sentiment Analysis . [Thesis]. University of Guelph; 2016. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9616

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


University of Texas – Austin

12. Chen, Jiajun, M.S. in Statistics. Search engine For Twitter sentiment analysis.

Degree: MSin Statistics, Statistics, 2015, University of Texas – Austin

 The purpose of sentiment analysis is to determine the attitude of a writer or a speaker with respect to some topic or his feeling in… (more)

Subjects/Keywords: Twitter; Sentiment analysis; Search engine

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

APA (6th Edition):

Chen, Jiajun, M. S. i. S. (2015). Search engine For Twitter sentiment analysis. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32489

Chicago Manual of Style (16th Edition):

Chen, Jiajun, M S in Statistics. “Search engine For Twitter sentiment analysis.” 2015. Masters Thesis, University of Texas – Austin. Accessed January 18, 2020. http://hdl.handle.net/2152/32489.

MLA Handbook (7th Edition):

Chen, Jiajun, M S in Statistics. “Search engine For Twitter sentiment analysis.” 2015. Web. 18 Jan 2020.

Vancouver:

Chen, Jiajun MSiS. Search engine For Twitter sentiment analysis. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/2152/32489.

Council of Science Editors:

Chen, Jiajun MSiS. Search engine For Twitter sentiment analysis. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32489


University of Alberta

13. Dergacheva, Elena L. Text analysis of Maxpark and LiveJournal Russia: How is the evaluation of modern femininity and masculinity discussed in Russian blogs.

Degree: MA, Department of Modern Languages and Cultural Studies Humanities Computing, 2014, University of Alberta

 This thesis focuses on text analysis of Russian speaking blogs with the goal to examine critically discussions of femininity and masculinity in modern Russian society.… (more)

Subjects/Keywords: sentiment analysis; text analysis, blogs; gender studies

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

APA (6th Edition):

Dergacheva, E. L. (2014). Text analysis of Maxpark and LiveJournal Russia: How is the evaluation of modern femininity and masculinity discussed in Russian blogs. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/vm40xs42f

Chicago Manual of Style (16th Edition):

Dergacheva, Elena L. “Text analysis of Maxpark and LiveJournal Russia: How is the evaluation of modern femininity and masculinity discussed in Russian blogs.” 2014. Masters Thesis, University of Alberta. Accessed January 18, 2020. https://era.library.ualberta.ca/files/vm40xs42f.

MLA Handbook (7th Edition):

Dergacheva, Elena L. “Text analysis of Maxpark and LiveJournal Russia: How is the evaluation of modern femininity and masculinity discussed in Russian blogs.” 2014. Web. 18 Jan 2020.

Vancouver:

Dergacheva EL. Text analysis of Maxpark and LiveJournal Russia: How is the evaluation of modern femininity and masculinity discussed in Russian blogs. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2020 Jan 18]. Available from: https://era.library.ualberta.ca/files/vm40xs42f.

Council of Science Editors:

Dergacheva EL. Text analysis of Maxpark and LiveJournal Russia: How is the evaluation of modern femininity and masculinity discussed in Russian blogs. [Masters Thesis]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/vm40xs42f


NSYSU

14. Chang, Chia-Chen. The Research of Constructing Domain-Specific Chinese Sentiment Lexicon.

Degree: Master, Information Management, 2018, NSYSU

 With the booming of social media, users generate a large number of texts, such as tweets, blogs, and comments, which are full of potential sentiment.… (more)

Subjects/Keywords: text mining; sentiment analysis; Chinese sentiment lexicon; word embedding; label propagation

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

APA (6th Edition):

Chang, C. (2018). The Research of Constructing Domain-Specific Chinese Sentiment Lexicon. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721118-153855

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

Chicago Manual of Style (16th Edition):

Chang, Chia-Chen. “The Research of Constructing Domain-Specific Chinese Sentiment Lexicon.” 2018. Thesis, NSYSU. Accessed January 18, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721118-153855.

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

MLA Handbook (7th Edition):

Chang, Chia-Chen. “The Research of Constructing Domain-Specific Chinese Sentiment Lexicon.” 2018. Web. 18 Jan 2020.

Vancouver:

Chang C. The Research of Constructing Domain-Specific Chinese Sentiment Lexicon. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Jan 18]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721118-153855.

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

Council of Science Editors:

Chang C. The Research of Constructing Domain-Specific Chinese Sentiment Lexicon. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721118-153855

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


University of Manchester

15. Alhazmi, Samah. Linking Arabic social media based on similarity and sentiment.

Degree: PhD, 2016, University of Manchester

 A large proportion of World Wide Web (WWW) users treat it as a social medium, i.e. many of them use the WWW to express and… (more)

Subjects/Keywords: 302.23; Opinion mining; Sentiment analysis; Arabic; Social media; Sentiment classification

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

APA (6th Edition):

Alhazmi, S. (2016). Linking Arabic social media based on similarity and sentiment. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/linking-arabic-social-media-based-on-similarity-and-sentiment(04288028-707c-46f2-a028-8ee3066dfa89).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727880

Chicago Manual of Style (16th Edition):

Alhazmi, Samah. “Linking Arabic social media based on similarity and sentiment.” 2016. Doctoral Dissertation, University of Manchester. Accessed January 18, 2020. https://www.research.manchester.ac.uk/portal/en/theses/linking-arabic-social-media-based-on-similarity-and-sentiment(04288028-707c-46f2-a028-8ee3066dfa89).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727880.

MLA Handbook (7th Edition):

Alhazmi, Samah. “Linking Arabic social media based on similarity and sentiment.” 2016. Web. 18 Jan 2020.

Vancouver:

Alhazmi S. Linking Arabic social media based on similarity and sentiment. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2020 Jan 18]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/linking-arabic-social-media-based-on-similarity-and-sentiment(04288028-707c-46f2-a028-8ee3066dfa89).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727880.

Council of Science Editors:

Alhazmi S. Linking Arabic social media based on similarity and sentiment. [Doctoral Dissertation]. University of Manchester; 2016. Available from: https://www.research.manchester.ac.uk/portal/en/theses/linking-arabic-social-media-based-on-similarity-and-sentiment(04288028-707c-46f2-a028-8ee3066dfa89).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727880


NSYSU

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

Degree: Master, Information Management, 2014, NSYSU

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

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

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Li, Jih-Pin. “Explore Internet Users in Taiwan Neighbors Emotion.” 2014. Thesis, NSYSU. Accessed January 18, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614114-062227.

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

MLA Handbook (7th Edition):

Li, Jih-Pin. “Explore Internet Users in Taiwan Neighbors Emotion.” 2014. Web. 18 Jan 2020.

Vancouver:

Li J. Explore Internet Users in Taiwan Neighbors Emotion. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Jan 18]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614114-062227.

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

Council of Science Editors:

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

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


UCLA

17. Tavabi, Leili Leili. Evaluation of Political Sentiment on Twitter.

Degree: Computer Science, 2015, UCLA

 With the increasing level of access to online political discourses, made possibleby the social media networks, a systematic analysis of political speech becomesmore critical. The… (more)

Subjects/Keywords: Computer science; Communication; Politics; Sentiment Analysis; Twitter

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

APA (6th Edition):

Tavabi, L. L. (2015). Evaluation of Political Sentiment on Twitter. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/5j82j35h

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):

Tavabi, Leili Leili. “Evaluation of Political Sentiment on Twitter.” 2015. Thesis, UCLA. Accessed January 18, 2020. http://www.escholarship.org/uc/item/5j82j35h.

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

MLA Handbook (7th Edition):

Tavabi, Leili Leili. “Evaluation of Political Sentiment on Twitter.” 2015. Web. 18 Jan 2020.

Vancouver:

Tavabi LL. Evaluation of Political Sentiment on Twitter. [Internet] [Thesis]. UCLA; 2015. [cited 2020 Jan 18]. Available from: http://www.escholarship.org/uc/item/5j82j35h.

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

Council of Science Editors:

Tavabi LL. Evaluation of Political Sentiment on Twitter. [Thesis]. UCLA; 2015. Available from: http://www.escholarship.org/uc/item/5j82j35h

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


Wayne State University

18. Zhang, Jingwei. Multi-Way Factorization Machine For Sentiment Analysis.

Degree: MS, Computer Science, 2017, Wayne State University

Sentiment analysis is a process of learning the relationship between sentiment label and text. The research value of sentiment analysis is two-fold: first, it… (more)

Subjects/Keywords: Factorization Machine; Sentiment analysis; Computer Sciences

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

APA (6th Edition):

Zhang, J. (2017). Multi-Way Factorization Machine For Sentiment Analysis. (Masters Thesis). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_theses/599

Chicago Manual of Style (16th Edition):

Zhang, Jingwei. “Multi-Way Factorization Machine For Sentiment Analysis.” 2017. Masters Thesis, Wayne State University. Accessed January 18, 2020. https://digitalcommons.wayne.edu/oa_theses/599.

MLA Handbook (7th Edition):

Zhang, Jingwei. “Multi-Way Factorization Machine For Sentiment Analysis.” 2017. Web. 18 Jan 2020.

Vancouver:

Zhang J. Multi-Way Factorization Machine For Sentiment Analysis. [Internet] [Masters thesis]. Wayne State University; 2017. [cited 2020 Jan 18]. Available from: https://digitalcommons.wayne.edu/oa_theses/599.

Council of Science Editors:

Zhang J. Multi-Way Factorization Machine For Sentiment Analysis. [Masters Thesis]. Wayne State University; 2017. Available from: https://digitalcommons.wayne.edu/oa_theses/599

19. Schein, Aaron J. What's in a letter?.

Degree: MA, Linguistics, 2012, University of Massachusetts

Sentiment analysis is a burgeoning field in natural language processing used to extract and categorize opinion in evaluative documents. We look at recommendation letters,… (more)

Subjects/Keywords: Sentiment analysis; recommendation letters; Computational Linguistics

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

APA (6th Edition):

Schein, A. J. (2012). What's in a letter?. (Masters Thesis). University of Massachusetts. Retrieved from https://scholarworks.umass.edu/theses/886

Chicago Manual of Style (16th Edition):

Schein, Aaron J. “What's in a letter?.” 2012. Masters Thesis, University of Massachusetts. Accessed January 18, 2020. https://scholarworks.umass.edu/theses/886.

MLA Handbook (7th Edition):

Schein, Aaron J. “What's in a letter?.” 2012. Web. 18 Jan 2020.

Vancouver:

Schein AJ. What's in a letter?. [Internet] [Masters thesis]. University of Massachusetts; 2012. [cited 2020 Jan 18]. Available from: https://scholarworks.umass.edu/theses/886.

Council of Science Editors:

Schein AJ. What's in a letter?. [Masters Thesis]. University of Massachusetts; 2012. Available from: https://scholarworks.umass.edu/theses/886

20. Vaswani, Vishwas. Predicting sentiment-mention associations in product reviews.

Degree: MS, Department of Computing and Information Sciences, 2012, Kansas State University

 With the rising trend in social networking, more people express their opinions on the web. As a consequence, there has been an increase in the… (more)

Subjects/Keywords: Sentiment analysis; Machine learning; Computer Science (0984)

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

APA (6th Edition):

Vaswani, V. (2012). Predicting sentiment-mention associations in product reviews. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/13714

Chicago Manual of Style (16th Edition):

Vaswani, Vishwas. “Predicting sentiment-mention associations in product reviews.” 2012. Masters Thesis, Kansas State University. Accessed January 18, 2020. http://hdl.handle.net/2097/13714.

MLA Handbook (7th Edition):

Vaswani, Vishwas. “Predicting sentiment-mention associations in product reviews.” 2012. Web. 18 Jan 2020.

Vancouver:

Vaswani V. Predicting sentiment-mention associations in product reviews. [Internet] [Masters thesis]. Kansas State University; 2012. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/2097/13714.

Council of Science Editors:

Vaswani V. Predicting sentiment-mention associations in product reviews. [Masters Thesis]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/13714


Universidade Nova

21. Twanabasu, Bikesh. Sentiment analysis in geo social streams by using machine learning technique.

Degree: 2018, Universidade Nova

 Massive amounts of sentiment rich data are generated on social media in the form of Tweets, status updates, blog post, reviews, etc. Different people and… (more)

Subjects/Keywords: Geovisualization; Machine Learning; Opinion Mining; Sentiment Analysis

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

APA (6th Edition):

Twanabasu, B. (2018). Sentiment analysis in geo social streams by using machine learning technique. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33797

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):

Twanabasu, Bikesh. “Sentiment analysis in geo social streams by using machine learning technique.” 2018. Thesis, Universidade Nova. Accessed January 18, 2020. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33797.

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

MLA Handbook (7th Edition):

Twanabasu, Bikesh. “Sentiment analysis in geo social streams by using machine learning technique.” 2018. Web. 18 Jan 2020.

Vancouver:

Twanabasu B. Sentiment analysis in geo social streams by using machine learning technique. [Internet] [Thesis]. Universidade Nova; 2018. [cited 2020 Jan 18]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33797.

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

Council of Science Editors:

Twanabasu B. Sentiment analysis in geo social streams by using machine learning technique. [Thesis]. Universidade Nova; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33797

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


Cornell University

22. Wang, Lu. Summarization And Sentiment Analysis For Understanding Socially-Generated Content .

Degree: 2016, Cornell University

 During the past decades, we have witnessed the emergence of significant amounts of socially-generated content enabled by the widespread use of Internet, especially the social… (more)

Subjects/Keywords: Natural Language Processing; Summarization; Sentiment Analysis

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

APA (6th Edition):

Wang, L. (2016). Summarization And Sentiment Analysis For Understanding Socially-Generated Content . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/43671

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, Lu. “Summarization And Sentiment Analysis For Understanding Socially-Generated Content .” 2016. Thesis, Cornell University. Accessed January 18, 2020. http://hdl.handle.net/1813/43671.

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

MLA Handbook (7th Edition):

Wang, Lu. “Summarization And Sentiment Analysis For Understanding Socially-Generated Content .” 2016. Web. 18 Jan 2020.

Vancouver:

Wang L. Summarization And Sentiment Analysis For Understanding Socially-Generated Content . [Internet] [Thesis]. Cornell University; 2016. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/1813/43671.

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

Council of Science Editors:

Wang L. Summarization And Sentiment Analysis For Understanding Socially-Generated Content . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/43671

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

23. Alhothali, Areej. A Socio-mathematical and Structure-Based Approach to Model Sentiment Dynamics in Event-Based Text.

Degree: 2017, University of Waterloo

 Natural language texts are often meant to express or impact the emotions of individuals. Recognizing the underlying emotions expressed in or triggered by textual content… (more)

Subjects/Keywords: Sentiment analysis; Natural language processing; Machine learning

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APA (6th Edition):

Alhothali, A. (2017). A Socio-mathematical and Structure-Based Approach to Model Sentiment Dynamics in Event-Based Text. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12480

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):

Alhothali, Areej. “A Socio-mathematical and Structure-Based Approach to Model Sentiment Dynamics in Event-Based Text.” 2017. Thesis, University of Waterloo. Accessed January 18, 2020. http://hdl.handle.net/10012/12480.

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

MLA Handbook (7th Edition):

Alhothali, Areej. “A Socio-mathematical and Structure-Based Approach to Model Sentiment Dynamics in Event-Based Text.” 2017. Web. 18 Jan 2020.

Vancouver:

Alhothali A. A Socio-mathematical and Structure-Based Approach to Model Sentiment Dynamics in Event-Based Text. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/10012/12480.

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

Council of Science Editors:

Alhothali A. A Socio-mathematical and Structure-Based Approach to Model Sentiment Dynamics in Event-Based Text. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/12480

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


University of North Texas

24. Wei, Jinliang. Parallel Analysis of Aspect-Based Sentiment Summarization from Online Big-Data.

Degree: 2019, University of North Texas

 Consumer's opinions and sentiments on products can reflect the performance of products in general or in various aspects. Analyzing these data is becoming feasible, considering… (more)

Subjects/Keywords: Aspect-based Sentiment Analysis; Information retrieval system

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

APA (6th Edition):

Wei, J. (2019). Parallel Analysis of Aspect-Based Sentiment Summarization from Online Big-Data. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1505264/

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, Jinliang. “Parallel Analysis of Aspect-Based Sentiment Summarization from Online Big-Data.” 2019. Thesis, University of North Texas. Accessed January 18, 2020. https://digital.library.unt.edu/ark:/67531/metadc1505264/.

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

MLA Handbook (7th Edition):

Wei, Jinliang. “Parallel Analysis of Aspect-Based Sentiment Summarization from Online Big-Data.” 2019. Web. 18 Jan 2020.

Vancouver:

Wei J. Parallel Analysis of Aspect-Based Sentiment Summarization from Online Big-Data. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Jan 18]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505264/.

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

Council of Science Editors:

Wei J. Parallel Analysis of Aspect-Based Sentiment Summarization from Online Big-Data. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505264/

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


University of Manchester

25. Alahmadi, Dimah. Recommender systems based on online social networks : an Implicit Social Trust And Sentiment analysis approach.

Degree: PhD, 2017, University of Manchester

 Recommender systems (RSs) provide personalised suggestions of information or products relevant to user's needs. RSs are considered as powerful tools that help users to find… (more)

Subjects/Keywords: 006.3; Recommender systems; trust; sentiment analysis

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APA (6th Edition):

Alahmadi, D. (2017). Recommender systems based on online social networks : an Implicit Social Trust And Sentiment analysis approach. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/recommender-systems-based-on-online-social-networks-an-implicit-social-trust-and-sentiment-analysis-approach(ac03f7e5-4fc0-4c4a-bace-82188823eb84).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728150

Chicago Manual of Style (16th Edition):

Alahmadi, Dimah. “Recommender systems based on online social networks : an Implicit Social Trust And Sentiment analysis approach.” 2017. Doctoral Dissertation, University of Manchester. Accessed January 18, 2020. https://www.research.manchester.ac.uk/portal/en/theses/recommender-systems-based-on-online-social-networks-an-implicit-social-trust-and-sentiment-analysis-approach(ac03f7e5-4fc0-4c4a-bace-82188823eb84).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728150.

MLA Handbook (7th Edition):

Alahmadi, Dimah. “Recommender systems based on online social networks : an Implicit Social Trust And Sentiment analysis approach.” 2017. Web. 18 Jan 2020.

Vancouver:

Alahmadi D. Recommender systems based on online social networks : an Implicit Social Trust And Sentiment analysis approach. [Internet] [Doctoral dissertation]. University of Manchester; 2017. [cited 2020 Jan 18]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/recommender-systems-based-on-online-social-networks-an-implicit-social-trust-and-sentiment-analysis-approach(ac03f7e5-4fc0-4c4a-bace-82188823eb84).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728150.

Council of Science Editors:

Alahmadi D. Recommender systems based on online social networks : an Implicit Social Trust And Sentiment analysis approach. [Doctoral Dissertation]. University of Manchester; 2017. Available from: https://www.research.manchester.ac.uk/portal/en/theses/recommender-systems-based-on-online-social-networks-an-implicit-social-trust-and-sentiment-analysis-approach(ac03f7e5-4fc0-4c4a-bace-82188823eb84).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728150


Arizona State University

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

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 January 18, 2020. http://repository.asu.edu/items/40204.

MLA Handbook (7th Edition):

Baskaran, Swetha. “Enhanced Topic-Based Modeling for Twitter Sentiment Analysis.” 2016. Web. 18 Jan 2020.

Vancouver:

Baskaran S. Enhanced Topic-Based Modeling for Twitter Sentiment Analysis. [Internet] [Masters thesis]. Arizona State University; 2016. [cited 2020 Jan 18]. 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 Manitoba

27. Naqvi, Mohammed Moosa. Relationship discovery of price movements between sentiment analysis on social media data and stock market.

Degree: Computer Science, 2019, University of Manitoba

 A desire to make a profit on investment has been a prominent motivational factor in financial investments. The idea of growing with a blue chip… (more)

Subjects/Keywords: Machine Learning; Sentiment Analysis; Computational Finance

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

APA (6th Edition):

Naqvi, M. M. (2019). Relationship discovery of price movements between sentiment analysis on social media data and stock market. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/34125

Chicago Manual of Style (16th Edition):

Naqvi, Mohammed Moosa. “Relationship discovery of price movements between sentiment analysis on social media data and stock market.” 2019. Masters Thesis, University of Manitoba. Accessed January 18, 2020. http://hdl.handle.net/1993/34125.

MLA Handbook (7th Edition):

Naqvi, Mohammed Moosa. “Relationship discovery of price movements between sentiment analysis on social media data and stock market.” 2019. Web. 18 Jan 2020.

Vancouver:

Naqvi MM. Relationship discovery of price movements between sentiment analysis on social media data and stock market. [Internet] [Masters thesis]. University of Manitoba; 2019. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/1993/34125.

Council of Science Editors:

Naqvi MM. Relationship discovery of price movements between sentiment analysis on social media data and stock market. [Masters Thesis]. University of Manitoba; 2019. Available from: http://hdl.handle.net/1993/34125


Florida International University

28. Xue, Wei. Aspect Based Sentiment Analysis On Review Data.

Degree: PhD, Computer Science, 2017, Florida International University

  With proliferation of user-generated reviews, new opportunities and challenges arise. The advance of Web technologies allows people to access a large amount of reviews… (more)

Subjects/Keywords: sentiment analysis; text mining; Computer Engineering

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

APA (6th Edition):

Xue, W. (2017). Aspect Based Sentiment Analysis On Review Data. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3721 ; 10.25148/etd.FIDC004076 ; FIDC004076

Chicago Manual of Style (16th Edition):

Xue, Wei. “Aspect Based Sentiment Analysis On Review Data.” 2017. Doctoral Dissertation, Florida International University. Accessed January 18, 2020. https://digitalcommons.fiu.edu/etd/3721 ; 10.25148/etd.FIDC004076 ; FIDC004076.

MLA Handbook (7th Edition):

Xue, Wei. “Aspect Based Sentiment Analysis On Review Data.” 2017. Web. 18 Jan 2020.

Vancouver:

Xue W. Aspect Based Sentiment Analysis On Review Data. [Internet] [Doctoral dissertation]. Florida International University; 2017. [cited 2020 Jan 18]. Available from: https://digitalcommons.fiu.edu/etd/3721 ; 10.25148/etd.FIDC004076 ; FIDC004076.

Council of Science Editors:

Xue W. Aspect Based Sentiment Analysis On Review Data. [Doctoral Dissertation]. Florida International University; 2017. Available from: https://digitalcommons.fiu.edu/etd/3721 ; 10.25148/etd.FIDC004076 ; FIDC004076

29. Wei, Miao. Sentiment Analysis Using Deep Learning: A Comparison Between Chinese And English.

Degree: 2017, RIAN

 With the increasing popularity of opinion-rich resources, opinion mining and sentiment analysis has received increasing attention. Sentiment analysis is one of the most effective ways… (more)

Subjects/Keywords: Sentiment Analysis; Deep Learning; Comparison; Chinese; English

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wei, M. (2017). Sentiment Analysis Using Deep Learning: A Comparison Between Chinese And English. (Thesis). RIAN. Retrieved from http://eprints.maynoothuniversity.ie/9903/

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, Miao. “Sentiment Analysis Using Deep Learning: A Comparison Between Chinese And English.” 2017. Thesis, RIAN. Accessed January 18, 2020. http://eprints.maynoothuniversity.ie/9903/.

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

MLA Handbook (7th Edition):

Wei, Miao. “Sentiment Analysis Using Deep Learning: A Comparison Between Chinese And English.” 2017. Web. 18 Jan 2020.

Vancouver:

Wei M. Sentiment Analysis Using Deep Learning: A Comparison Between Chinese And English. [Internet] [Thesis]. RIAN; 2017. [cited 2020 Jan 18]. Available from: http://eprints.maynoothuniversity.ie/9903/.

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

Council of Science Editors:

Wei M. Sentiment Analysis Using Deep Learning: A Comparison Between Chinese And English. [Thesis]. RIAN; 2017. Available from: http://eprints.maynoothuniversity.ie/9903/

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


University of Ottawa

30. Carter, David. Inferring Aspect-Specific Opinion Structure in Product Reviews .

Degree: 2015, University of Ottawa

 Identifying differing opinions on a given topic as expressed by multiple people (as in a set of written reviews for a given product, for example)… (more)

Subjects/Keywords: machine learning; co-training; natural language processing; semi-supervised learning; sentiment analysis; aspect-based sentiment analysis; computational linguistics; sentiment classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Carter, D. (2015). Inferring Aspect-Specific Opinion Structure in Product Reviews . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/32177

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):

Carter, David. “Inferring Aspect-Specific Opinion Structure in Product Reviews .” 2015. Thesis, University of Ottawa. Accessed January 18, 2020. http://hdl.handle.net/10393/32177.

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

MLA Handbook (7th Edition):

Carter, David. “Inferring Aspect-Specific Opinion Structure in Product Reviews .” 2015. Web. 18 Jan 2020.

Vancouver:

Carter D. Inferring Aspect-Specific Opinion Structure in Product Reviews . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/10393/32177.

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

Council of Science Editors:

Carter D. Inferring Aspect-Specific Opinion Structure in Product Reviews . [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/32177

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

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