Statistical features identification for sentiment analysis using machine learning techniques

Proceedings - 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013

Volumn , Issue , 2013, Pages 178-181

  Kamal, Ahmad ^a   Abulaish, Muhammad ^a  

^a JAMIA MILLIA ISLAMIA CENTRAL UNIVERSITY   (India)

Author keywords

Feature identification; Machine learning; Opinion mining; Sentiment analysis; Text Mining

Indexed keywords

DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL NETWORKING (ONLINE);

FEATURE IDENTIFICATION; MACHINE LEARNING APPROACHES; MACHINE LEARNING TECHNIQUES; ONLINE SOCIAL MEDIAS; OPINION MINING; SENTIMENT ANALYSIS; TEXT MINING; USER-GENERATED CONTENT;

LEARNING SYSTEMS;

EID: 84894413443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCBI.2013.43     Document Type: Conference Paper

References (8)

1. B. Li, L. Zhou, S. Feng, and K. Wong, "A unified graph model for sentence-based opinion retrieval", Proc. 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, 2010, pp. 1367-1375.
2. B. Pang, and L. Lee, "Opinion Mining and Sentiment Analysis", Foundation and Trends in Information Retrieval, vol. 2, Nos. 1-2, 2008, pp. 1-135.
3. G. Qiu, B. Liu, and C. Chen, "Opinion word expansion and target extraction through double propagation", Association for Computational Linguistics 37, 2010, pp.9-27.
4. K. Nozomi, R. Lida, K.Inui, Y. Matsumato, "Opinion Extraction Using a Learning-Based Anaphora Resolution Technique", Proc. Second International Joint Conference on Natural Language Processing, 2005, pp. 173-178.
5. N. Jakob, I. Gurevych, "Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews", Proc. ACL 2010 Conference Short Papers, Stroudsburg, Uppsala, Sweden, 2010, pp. 263-268.
6. Bo. Pang, L. Lee, and S. Vaithyanathan, "Thumbs up Sentiment Classification using Machine Learning Techniques", Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2002, pp. 79-86.
7. S.Kim and E. Hovy, "Determining the sentiment of opinions", Proc. 20th international conference on Computational Linguistics, COLING '04, ACM, 2004.
8. A. Kamal, M. Abulaish and T.Anwar, "Mining Feature-Opinion Pairs and their Reliability Scores from Web Opinion Sources", Proc. 2nd Int'l. Conference on Web Intelligence, Mining and Semantics, 2012.