Sentence level sentiment analysis in the presence of conjuncts using linguistic analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4425 LNCS, Issue , 2007, Pages 573-580

  Meena, Arun ^a   Prabhakar, T V ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

Favorability analysis; Information extraction; Semantic orientation; Sentiment analysis; Text classification; Text mining

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; INFORMATION RETRIEVAL; SEMANTICS; TEXT PROCESSING; WORD PROCESSING;

FAVORABILITY ANALYSIS; INFORMATION EXTRACTION; SEMANTIC ORIENTATION; SENTIMENT ANALYSIS; TEXT CLASSIFICATION; TEXT MINING;

COMPUTATIONAL LINGUISTICS;

EID: 37149036897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71496-5_53     Document Type: Conference Paper

References (15)

1. Peter Turney. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), pages 417-424, 2002.
2. B. Pang, L. Lee, S. Vaithyanathan, "Thumbs up? Sentiment Classification using Machine Learning Techniques," Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, 2002.
3. S. Matsumoto, H. Takamura, M. Okumura,"Sentiment Classification using Word SubSequences and Dependency Sub-Tree," Proceedings of PAKDD, 2005.
4. B. Pang, L. Lee,"Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales," Proceedings of the ACL, 2005.
5. Yu, Hong and Vasileios Hatzivassiloglou. 2003. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Proceedings of EMNLP.
6. Tetsuya Nasukawa, and Jeonghee Yi, "Sentiment Analysis: Capturing Favorability Using Natural Language Processing" K-CAP'03, October, 2003, pp. 70-77.
7. The Stanford Natural Language Processing Group (http://nlp.stanford.edu/ software/lexparser.shtml)
8. Kanayama Hiroshi, Nasukawa Tetsuya and Watanabe Hideo. Deeper Sentiment Analysis Using Translation Technology, pp. 4-5.
9. Kushal Dave, Steve Lawrence, and David M. Pennock, "Mining the peanut gallery: Opinion extraction and semantic classification of product reviews," in Proceedings of the 12th International World Wide Web Conference (WWW-2003), 2003.
10. Vasileios Hatzivassiloglou and Kathleen R. McKeown, "Predicting the semantic orientation of adjectives," in Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL-1997), 1997.
11. Bo Pang and Lillian Lee, "A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts," in Proceedings of the 42th Annual Meeting of the Association for Computational Linguistics (ACL-2004), 2004.
12. Livia Polanyi and Annie Zaenen. Contextual valence shifters. In Proceedings of the AAAI Symposium on Exploring Attitude and Affect in Text: Theories and Applications (published as AAAI technical report SS-04-07), 2004.
13. Philip J. Stone, Dexter C. Dunphy, Marshall S. Smith, Daniel M. Ogilvie, and associates. The General Inquirer: A Computer Approach to Content Analysis. The MIT Press, 1966.
14. S. Morinaga, K. Yamanishi, K. Teteishi, and T. Fukushima. Mining product reputations on the web. In Proceedings of the ACM SIGKDD Conference, 2002.
15. Beineke, Philip, Trevor Hastie, Christopher Manning, and Shivakumar Vaithyanathan. 2004. Exploring sentiment summarization. In AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications (AAAI tech report SS-04-07).