Abstract
With the ever-growing popularity of online media such as blogs and social networking sites, the Internet is a valuable source of information for product and service reviews. Attempting to classify a subset of these documents using polarity metrics can be a daunting task. After a survey of previous research on sentiment polarity, we propose a novel approach based on Support Vector Machines. We compare our method to previously proposed lexical-based and machine learning (ML) approaches by applying it to a publicly available set of movie reviews. Our algorithm will be integrated within a blog visualization tool.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Tirapat, T., Espiritu, C., Stroulia, E.: Taking the Community’s Pulse, One Blog at a Time. In: Proceedings of the Sixth International Conference on Web Engineering, Palo Alto, CA, July 2006, pp. 169–176 (2006)
Kennedy, A., Inkpen, D.: Sentiment Classification of Movie and Product Reviews Using Contextual Valence Shifters. Computational Intelligence, 110–125 (2006)
Turney, P.: Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In: Proceedings of ACL, Philadelphia, PA, July 2002, pp. 417–424 (2002)
Kamps, J., Marx, M., Mokken, R.J.: Using WordNet to Measure Semantic Orientation of Adjectives. In: LREC 2004, vol. IV, pp. 1115–1118 (2004)
Hatzivassiloglou, V., Wiebe, J.: Effects of Adjective Orientation and Gradability on Sentence Subjectivity. In: Proceedings of the 18th International Conference on Computational Linguistics, New Brunswick, NJ (2000)
Andreevskaia, A., Bergler, S., Urseanu, M.: All Blogs Are Not Made Equal: Exploring Genre Differences in Sentiment Tagging of Blogs. In: International Conference on Weblogs and Social Media (ICWSM-2007), Boulder, CO (2007)
Turney, P.D., Littman, M.L.: Measuring Praise and Criticism: Inference of Semantic Orientation from Association. ACM Transactions on Information Systems, 315–346 (2003)
Akshay, J.: A Framework for Modeling Influence, Opinions and Structure in Social Media. In: Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, Vancouver, BC, July 2007, pp. 1933–1934 (2007)
Durant, K., Smith, M.: Mining Sentiment Classification from Political Web Logs. In: Proceedings of Workshop on Web Mining and Web Usage Analysis of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (WebKDD-2006), Philadelphia, PA (August 2006)
Stone, P.J., Dunphy, D.C., Smith, M.S.: The General Inquirer: A Computer Approach to Content Analysis. MIT Press, Cambridge (1966)
Yahoo! Search Web Services (October 2007), Online http://developer.yahoo.com/search/
Pang, B., Lee, L., Vaithyanathan, S.: Thumbs Up? Sentiment Classification Using Machine Learning Techniques. In: Proceedings of EMNLP-02, Association for Computational Linguistics, Philadelphia, PA, pp. 79–86 (2002)
No Title (October 2007), Online http://tartarus.org/~martin/PorterStemmer/java.txt
Fellbaum, C.: WordNet: An Electronic Lexical Database. Language, Speech, and Communication Series. MIT Press, Cambridge (1998)
Toutanova, K., Manning, C.D.: Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger. In: Proceedings of EMNLP/VLC-2000, Hong Kong, China, pp. 63–71 (2000)
Witten, H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)
Joachims, T.: Making Large-Scale SVM Learning Practical. In: Schölkopf, B., Burges, C., Smola, A. (eds.) Advances in Kernel Methods - Support Vector Learning, pp. 169–184. MIT-Press, Cambridge (1999)
Sato, N., Anse, M., Tabe, T.: A Method for Constructing a Movie-Selection Support System Based on Kansei Engineering. In: Smith, M.J., Salvendy, G. (eds.) HCII 2007. LNCS, vol. 4557, pp. 526–534. Springer, Heidelberg (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Annett, M., Kondrak, G. (2008). A Comparison of Sentiment Analysis Techniques: Polarizing Movie Blogs. In: Bergler, S. (eds) Advances in Artificial Intelligence. Canadian AI 2008. Lecture Notes in Computer Science(), vol 5032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68825-9_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-68825-9_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68821-1
Online ISBN: 978-3-540-68825-9
eBook Packages: Computer ScienceComputer Science (R0)