An unsupervised opinion mining approach for Japanese weblog reputation information using an improved SO-PMI algorithm

IEICE Transactions on Information and Systems

Volumn E91-D, Issue 4, 2008, Pages 1032-1041

  Wang, Guangwei ^a   Araki, Kenji ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

Author keywords

Opinion mining; Sentiment analysis; SO PMI; Supervised learning; Unsupervised learning; Weblog reputation information

Indexed keywords

SEMANTICS; SUPERVISED LEARNING; UNSUPERVISED LEARNING;

COMPARATIVE EXPERIMENTS; OPINION MINING; POINTWISE MUTUAL INFORMATION; SEMANTIC ORIENTATION; SENTIMENT ANALYSIS; SO-PMI; UNSUPERVISED APPROACHES; WEBLOG REPUTATION INFORMATION;

DATA MINING;

EID: 68149160923     PISSN: 09168532     EISSN: 17451361     Source Type: Journal    
DOI: 10.1093/ietisy/e91-d.4.1032     Document Type: Article

References (22)

1. M. Gamon, A. Aue, S. Corston-Oliver, and E. Ringger, "Pulse: Mining customer opinions from free text," Proc. 6th International Symposiumon Intelligent Data Analysis, pp.121-132, Madrid, Spain, Sept. 2005.
2. A. Popescu and O. Etzioni, "Extracting product features and opinions from reviews," Proc. HLT/EMNLP 2005, pp.339-346, Vancouver, B.C., Canada, Oct. 2005.
3. P. Chaovalit and L. Zhou, "Movie review mining: A comparison between supervised and unsupervised classification approaches," Proc. 38th Annual Hawaii International Conf. on System Sciences, p.112c, Hawaii, Jan. 2005.
4. H. Yu and V. Hatzivassiloglou, "Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences," Proc. EMNLP, pp.129-136, Sapporo, Japan, July 2003.
5. B. Pang, L. Lee, and S. Vaithyanathan, "Thumbs up? Sentiment Classification Using Machine Learning Techniques," Proc. EMNLP, pp.79-86, Philadelphia, PA, USA, July 2002.
6. B. Pang and L. Lee, "A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts," Proc. 42th Annual Meeting of the ACL, pp.271-278, Barcelona, Spain, July 2004.
7. K. Dave, S. Lawrence, and D.M. Pennock, "Mining the peanut gallery: Opinion extraction and semantic classification of product reviews," Proc. 12th International World Wide Web Conf., pp.519-528, Hungary, May 2003.
8. A. Yasuda, "Reviewing text mining: Textual data mining," Proc. IEEJ Trans. on EIS, vol.125, no.5, pp.682-689, 2005.
9. P.D. Turney, "Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews," Proc. 40th Annual Meeting of the ACL, pp.417-424, Philadelphia, PA, USA, July 2002.
10. Computational Linguistics Laboratory, Graduate School of Information Science, Nara Institute of Science and Technology, "CaboCha: A dependency structure analyzer," http://www.chasen.org/̃taku/software/cabocha/
11. G.Wang and K. Araki, "A decision support system using text mining technology," Proc. IEICE SIG Notes WI2-2006-6, pp.55-56, 2006.
12. G. Wang and K. Araki, "Modifying SO-PMI for Japanese Weblog opinion mining by using a balancing factor and detecting neutral expressions," Proc. NAACL HLT 2007, pp.189-192, Rochester, NY, USA, April 2007.
13. N. Kobayashi, K. Inui, Y. Matsumoto, K. Tateishi, and T. Fukushima, "Collecting evaluative expressions for opinion extraction," Proc. NLP· vol.12, no.2, pp.203-222, July 2005, http://www.syncha.org/ evaluative expressions.html
14. T. Kudoh and Y. Matsumoto, "Applying cascaded chunking to Japanese dependency structure analysis," Proc. IPSJ, vol.43, no.6, pp.1834-1842, 2002.
15. H. Takamura, T. Inui, and M. Okumura, "Latent variable models for semantic orientations of phrases," Proc. IPSJ, vol.47, no.11, pp.3021-3031, 2006, http://www.cisr.iri.titech.ac.jp/̃inui/cgi-bin/sa-demo/sa.cgi
16. G. Wang and K. Araki, "OMS-J: An opinion mining system for Japanese Weblog reviews using a combination of supervised and unsupervised approaches," Proc. NAACL HLT 2007 Demonstration Program, pp.19-20, Rochester, NY, USA, April 2007.
17. 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, pp.315-346, Oct. 2003.
18. M. Taboada and J. Grieve, "Analyzing appraisal automatically," Proc. AAAI Spring Symposium on Exploring Attitude and Affect in Text, pp.158-161, California, USA, March 2004.
19. M. Gamon, "Sentiment classification on customer feedback data: Noisy data, large feature vectors, and the role of linguistic analysis," Proc. 20th International Conf. on Computational Linguistics, pp.611-617, Switzerland, Aug. 2004.
20. B. Liu, M. Hu, and J. Cheng, "Opinion observer: Analyzing and comparing opinions on the Web," Proc. 14th International World Wide Web Conf., pp.342-351, Chiba, Japan, May 2005.
21. T. Wilson, J. Wiebe, and P. Hoffmann, "Recognizing contextual polarity in phrase-level sentiment analysis," Proc. HLT/EMNLP 2005, pp.347-354, Vancouver, B.C., Canada, Oct. 2005.
22. Y. Suzuki, T. Takamura, and M. Okumura, "Evaluation expression extraction for Weblog," Proc. SIG-SW-ONT-A401-02, 2004.