Sentiment analysis of movie reviews on discussion boards using a linguistic approach

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2009, Pages 81-84

  Thet, Tun Thura ^a   Na, Jin Cheon ^a   Khoo, Christopher S G ^a   Shakthikumar, Subbaraj ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Dependency tree; Discussion board; Movie reviews; Sentiment analysis

Indexed keywords

DATA SETS; DEPENDENCY TREE; DISCUSSION BOARDS; DOMAIN SPECIFIC; LINGUISTIC APPROACH; NEGATIVE SENTIMENTS; SENTIMENT ANALYSIS; TARGET OBJECT;

KNOWLEDGE MANAGEMENT; LINGUISTICS; SECURITY SYSTEMS;

MOTION PICTURES;

EID: 74049164139     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1651461.1651476     Document Type: Conference Paper

References (9)

1. de Marneffe, M.-C., MacCartney, B., and Manning, C. D. Generating typed dependency parses from phrase structure parses. In Proceedings of LREC, 2006.
2. Esuli, A. and Sebastiani, F. Determining term subjectivity and term orientation for opinion mining, In Proceedings of EACL, 2006.
3. Joachims, T. Text categorization with support vector machines: Learning with many relevant features. In Proceedings of the 10th European Conference on Machine-learning, pp. 137-142, 1998.
4. Kudo T. and Matsumoto, Y. A boosting algorithm for classification of semi-structured text. In Proceedings of EMNLP, 2004.
5. Pang, B., Lee, L., and Vaithyanathan, S. Thumbs up? Sentiment classification using machine-learning techniques, In Proceedings of EMNLP, pp. 79-86, 2002.
6. Pang, B., and Lee, L. A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, pp. 271-278, 2004.
7. Shaikh, M. A. M., Prendinger, H., and Ishizuka, M. Sentiment assessment of text by analyzing linguistic features and contextual valence assignment. Applied Artificial Intelligence, 22 (6), 558-601, 2008.
8. Wiebe, J. and Riloff, E. Creating Subjective and Objective Sentence Classifiers from Unannotated Texts. In Proceedings of CICLing, pp. 486-497, 2005.
9. Yi, J., Nasukawa, T., Bunescu, R., and Niblack, W. Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques. In Proceedings of ICDM, pp. 427-434, 2003.