Review sentiment scoring via a parse-and-paraphrase paradigm

EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009

Volumn , Issue , 2009, Pages 161-169

  Liu, Jingjing ^a   Seneff, Stephanie ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); SYNTACTICS;

GENERAL SOLUTIONS; HIERARCHICAL REPRESENTATION; LEXICAL FEATURES; LINGUISTIC STRUCTURE; LONG-DISTANCE DEPENDENCIES; PRODUCT REVIEWS; RESTAURANT REVIEWS; SENTIMENT CLASSIFICATION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 80053432823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1699510.1699532     Document Type: Conference Paper

References (23)

1. Stefano Baccianella, Andrea Esuli, and Fabrizio Sebastiani. 2009. Multi-facet Rating of Product Reviews. In Proceedings of European Conference on Information Retrieval.
2. S.R.K. Branavan, Harr Chen, Jacob Eisenstein, and Regina Barzilay. 2008. Learning document-level semantic properties from free-text annotations. In Proceedings of the Annual Conference of the Association for Computational Linguistics.
3. Giuseppe Carenini, Raymond Ng, and Adam Pauls 2006. Multi-Document Summarization of Evaluative Text. In Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics.
4. Kushal Dave, Steve Lawrence, and David M. Pennock. 2003. Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In Proceedings of the International Conference on World Wide Web.
5. Andrea Esuli and Fabrizio Sebastiani. 2006. SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining. In Proceedings of the 5th Conference on Language Resources and Evaluation.
6. Michael Gamon, Anthony Aue, Simon Corston-Oliver, and Eric Ringger . 2005. Pulse: Mining customer opinions from free text. In Proceedings of the 6th International Symposium on Intelligent Data Analysis.
7. Andrew Goldberg and Xiaojin Zhu. 2006. Seeing stars when there aren't many stars: Graph-based semi-supervised learning for sentiment categorization. In HLT-NAACL 2006 Workshop on Textgraphs: Graph-based Algorithms for Natural Language Processing.
8. Minqing Hu and Bing Liu. 2004a. Mining and summarizing customer reviews. In Proceedings of the 2004 ACM SIGKDD international conference on Knowledge Discovery and Data mining.
9. Minqing Hu and Bing Liu. 2004b. Mining Opinion Features in Customer Reviews. In Proceedings of Nineteenth National Conference on Artificial Intelligence.
10. Soo-Min Kim and Eduard Hovy. 2006. Automatic identification of pro and con reasons in online reviews. In Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, pages 483-490.
11. Bing Liu, Minqing Hu, and Junsheng Cheng. 2005. Opinion observer: analyzing and comparing opinions on the web. In Proceedings of International Conference on World Wide Web.
12. Jingjing Liu, Yunbo Cao, Chin-Yew Lin, Yalou Huang, and Ming Zhou. 2007. Low-Quality Product Review Detection in Opinion Summarization. In Proceedings of the Conference on Empirical Methods in Natural Language Processing.
13. Bo Pang and Lillian Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the Annual Conference of the Association for Computational Linguistics.
14. Bo Pang and Lillian Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In Proceedings of the Annual Conference of the Association for Computational Linguistics.
15. Bo Pang, Lillian Lee, and S. Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of the Conference on Empirical Methods in Natural Language Processing.
16. A.M. Popescu and O. Etzioni. 2005. Extracting product features and opinions from reviews. In Proceedings of the Conference on Empirical Methods in Natural Language Processing.
17. Benjamin Snyder and Regina Barzilay. 2007. Multiple Aspect Ranking using the Good Grief Algorithm. In Proceedings of the Joint Conference of the North American Chapter of the Association for Computational Linguistics and Human Language Technologies.
18. Ivan Titov and Ryan McDonald. 2008a. Modeling online reviews with multi-grain topic models. In Proceedings of the 17h International Conference on World Wide Web.
19. Ivan Titov and Ryan McDonald. 2008b. A Joint Model of Text and Aspect Ratings for Sentiment Summarization. In Proceedings of the Annual Conference of the Association for Computational Linguistics.
20. Peter D. Turney. 2002. Thumbs up or thumbs down? Sentiment orientation applied to unsupervised classification of reviews. In Proceedings of the Annual Conference of the Association for Computational Linguistics.
21. Xuehui Wu, 2005. On the Scope of Negation in English, Sino-US English Teaching, Vol. 2, No. 9, Sep. 2005. pp. 53-56.
22. Yushi Xu, Jingjing Liu, Stephanie Seneff. 2008. Mandarin Language Understanding in Dialogue Context. In Proceedings of International Symposium on Chinese Spoken Language Processing.
23. Li Zhuang, Feng Jing, and Xiao-Yan Zhu. 2006. Movie review mining and summarization. In Proceedings of the 15th ACM international conference on Information and knowledge management.