The Community for Technology Leaders
RSS Icon
Issue No.04 - July/August (2010 vol.25)
pp: 46-53
Yulei Zhang , U of Arizona, Tucson
HsinChun Chen , University of Arizona
<p>A proposed lexicon-enhanced method for sentiment classification combines machine-learning and semantic-orientation approaches into one framework that significantly improves sentiment-classification performance.</p>
sentiment classification, feature representation, online product reviews, intelligent systems
Yulei Zhang, HsinChun Chen, "A Lexicon-Enhanced Method for Sentiment Classification: An Experiment on Online Product Reviews", IEEE Intelligent Systems, vol.25, no. 4, pp. 46-53, July/August 2010, doi:10.1109/MIS.2009.105
1. Rubicon Consulting, "Online Communities and Their Impact on Business: Ignore at Your Peril,"25 Mar. 2009; Rubicon-web-community.pdf.
2. A. Abbasi et al., "Sentiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums," ACM Trans. Information Systems, vol. 26, no. 3, 2008, pp. 1–34.
3. B. Liu, Web Data Mining, Springer, 2007.
4. B. Pang et al., "Thumbs up? Sentiment Classification Using Machine Learning Techniques," Proc. Conf. Empirical Methods in Natural Language Processing (EMNLP), ACL Press, 2002, pp. 79–86.
5. P.D. Turney, "Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews," Proc. 40th Ann. Meetings of the Assoc. Computational Linguistics, ACL Press, 2002, pp. 417–424.
6. E. Riloff and J. Wiebe, "Learning Extraction Patterns for Subjective Expressions," Proc. Conf. Empirical Methods in Natural Language Processing, ACL Press, 2003, pp. 105–112.
7. P.D. Turney and M.L. Littman, "Measuring Praise and Criticism: Inference of Semantic Orientation from Association," ACM Trans. Information Systems, vol. 21, no. 4, 2003, pp. 315–346.
8. L. Zhou and P. Chaovalit, "Ontology-Supported Polarity Mining," J. Am Soc. Information Science and Technology (JASIST), vol. 59, no. 1, 2008, pp. 98–110.
9. J. Wiebe et al., "Learning Subjective Language," Computational Linguistics, vol. 30, no. 3, 2004, pp. 277–308.
10. P. Subasic and A. Huettner, "Affect Analysis of Text Using Fuzzy Semantic Typing," IEEE Trans. Fuzzy Systems, vol. 9, no. 4, 2001, pp. 483–496.
11. A. Andreevskaia and S. Bergler, "Mining WordNet for Fuzzy Sentiment: Sentiment Tag Extraction from WordNet Glosses," Proc. 11th Conf. European Chapter of the Assoc. Computational Linguistics, ACL Press, 2006, pp. 209–216.
12. A. Esuli and F. Sebastiani, "SentiWordNet: A Publicly Available Lexical Resource for Opinion Mining," Proc. 5th Conf. Language Resources and Evaluation (LREC-06), Evaluation and Language Resource Agency, 2006, pp. 417–422.
13. A. Devitt and K. Ahmad, "Sentiment Polarity Identification in Financial News: A Cohesion-based Approach," Proc. 45th Ann. Meeting Assoc. Computational Linguistics, ACL Press, 2007, pp. 984–991.
14. K. Denecke, "Using SentiWordNet for Multilingual Sentiment Analysis," Proc. IEEE 24th Int'l Conf. Data Eng. Workshop (ICDEW 2008), IEEE Press, 2008, pp. 507–512.
15. A. Fahrni and M. Klenner, "Old Wine or Warm Beer: Target-Specific Sentiment Analysis of Adjectives," Proc. AISB Symp. Affective Language in Human and Machine, Soc. Study of Artificial Intelligence and Simulation of Behavior Press, 2008, pp. 60–63.
16. M. Efron, "Cultural Orientations: Classifying Subjective Documents by Cocitation Analysis," Proc. AAAI Fall Symp. Series on Style and Meaning in Language, Art, Music, and Design, AAAI Press, 2004, pp. 41–48.
17. A. Abbasi and H. Chen, "Applying Authorship Analysis to Extremist-Group Web Forum Messages," IEEE Intelligent Systems, vol. 20, no. 5, 2005, pp. 67–75.
18. V. Hatzivassiloglou and J. Wiebe, "Effects of Adjective Orientation and Gradability on Sentence Subjectivity," Proc. 18th Int'l Conf. Computational Linguistics, ACL Press, 2000, pp. 299–305.
19. M. Hu and B. Liu, "Mining and Summarizing Customer Reviews," Proc. ACM SIGKDD Int'l Conf., ACM Press, 2004, pp. 168–177.
20. M. Dash and H. Liu, "Feature Selection for Classification," Intelligent Data Analysis: An Int'l J., vol. 1, no. 3, 1997, pp. 131–156.
21. R. Maynard, "Online Reviews More Important than a Recommendation from a Friend,"2 July 2008; .
22. J. Blitzer et al., "Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification," Proc. Assoc. Computational Linguistics, ACL Press, 2007, pp. 440–447.
23. F. Benamara et al., "Sentiment Analysis: Adjectives and Adverbs are Better Than Adjectives Alone," Proc. Int'l Conf. Weblogs and Social Media (ICWSM), AAAI Press, 2007, pp. 203–206.
24. R. Zheng et al., "A Framework for Authorship Identification of Online Messages: Writing-Style Features and Classification Techniques," J. Am Soc. Information Science and Technology (JASIST), vol. 57, no. 3, 2006, pp. 378–393.
25. B. Guo and M.S. Nixon, "Gait Feature Subset Selection by Mutual Information," IEEE Trans. Systems, Man, and Cybernetics—Part A: Systems and Humans, vol. 39, no. 1, 2009, pp. 36–46.
26. M. Koppel and J. Schler, "Exploiting Stylistic Idiosyncrasies for Authorship Attribution," Proc. IJCAI Workshop Computational Approaches to Style Analysis and Synthesis, IJCAI, 2003, pp. 69–72.
27. S. Li and C. Zong, "Multi-domain Sentiment Classification," Proc. Assoc. Computational Linguistics, ACL Press, 2008, pp. 257–260.
6 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool