Optimizing modularity to identify semantic orientation of Chinese words

Expert Systems with Applications

Volumn 37, Issue 7, 2010, Pages 5094-5100

  Du, Weifu ^a   Tan, Songbo ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b INSTITUTE OF COMPUTING TECHNOLOGY   (China)

Author keywords

Information retrieval; Opinion mining; Semantic detection

Indexed keywords

GLOBAL INFORMATIONS; NOVEL ALGORITHM; OPINION MINING; SEMANTIC ORIENTATION; SENTIMENT ANALYSIS; SPECTRAL OPTIMIZATION; TEST SETS; WORD GRAPHS;

ALGORITHMS; INFORMATION RETRIEVAL; INFORMATION SERVICES; NATURAL LANGUAGE PROCESSING SYSTEMS; OPTIMIZATION;

SEMANTICS;

EID: 77950188803     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.12.088     Document Type: Article

References (18)

1. Andreevskaia, A., & Bergler, S. (2006). Mining WordNet for a fuzzy sentiment: Sentiment tag extraction from WordNet glosses. In Proceedings of EACL-06, Trento, Italy.
2. Esuli, A., & Sebastiani, F. (2006a). SentiWordNet: A publicly available lexical resource for opinion mining. In Proceedings of LREC 2006, 5th conference on language resources and evaluation, Genova, May.
3. Esuli, A., & Sebastiani, F. (2006b). Determining term subjectivity and term orientation for opinion mining. In Proceedings of EACL-06, 11th conference of the european chapter of the association for computational linguistics, Trento.
4. Fortunato S., Latora V., and Marchiori M. A method to find community structures based on information centrality. Physical Review A 70 (2004) 056104
5. Hatzivassiloglou, V., & McKeown, K. R. (1997). Predicting the semantic orientation of adjectives. In Proceedings of the 35th annual meeting of the association for computational linguistics and the eighth conference of the European chapter of the association for computational linguistics (pp. 174-1810).
6. Kamps, J., Marx, M., Mokken, R. J., & de Rijke, M. (2004). Using WordNet to measure semantic orientation of adjectives. In Proceedings of LREC-04, 4th international conference on language resources and evaluation (Vol. IV, pp. 1115-1118).
7. Kernighan B.W., and Lin S. An efficient heuristic procedure for partitioning graphs. Bell System Technical Journal 49 (1970) 291-307
8. Kobayashi, N., Inui, T., & Inui, K. (2001). Dictionary-based acquisition of the lexical knowledge for p/n analysis. In Proceedings of Japanese society for artificial intelligence, SLUD-33 (pp. 45-50, in Japanese).
9. Newman M.E.J. Fast algorithm for detecting community structure in networks. Physical Review E 69 (2004) 066133
10. Newman M.E.J. Finding community structure in networks using the eigenvectors of matrices. Physical Review E 74 (2006) 036104
11. Newman M.E.J., and Girvan M. Finding and evaluating community structure in networks. Physical Review E 69 (2004) 026113
12. Palla G., Derényi I., Farkas I., and Vicsek T. Uncovering the overlapping community structure of complex networks in nature and society. Nature 435 (2005) 814-818
13. Pang, B., & Lee, L. (2004). A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the 42nd annual meeting on association for computational linguistics, July 21-26, Barcelona, Spain.
14. Pons, P., & Latapy, M. (2005). Computing communities in large networks using random walks. In Proceedings of the 20th international symposium on computer and information sciences. Lecture notes in computer science (Vol. 3733, pp. 284-293). New York: Springer.
15. Reichardt J., and Bornholdt S. Statistical mechanics of community detection. Physical Review E 74 (2006) 016110
16. Takamura, H., Inui, T., & Okumura, M. (2005). Extracting semantic orientations of words using spin model. In Proceedings of the 43rd annual meeting of the ACL, Ann Arbor (pp. 133-140).
17. Turney P.D., and Littman M.L. Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems 21 4 (2003) 315-346
18. Wei, Y.-C., & Cheng, C.-K. (1989). Toward efficient hierarchical designs by ratio cut partitioning. In Proceedings of the IEEE international conference on computer aided design (pp. 298-301). Institute of Electrical and Electronics Engineers, New York.