One subjective feature extraction method of sentiment analysis based on dependency grammar
DOI: 10.23977/acss.2016.11005 | Downloads: 53 | Views: 5910
Author(s)
Xinkai Yang 1
Affiliation(s)
1 College of Information, Mechanical and Electronical Engineering, Shanghai Normal University, Shanghai, China, 200234
Corresponding Author
Xinkai YangABSTRACT
In this paper, we propose one subjective sentimental feature extraction algorithm based on dependency grammar. Several dependency features and relations are selected for construction of dependency graph. The effectiveness of this approach is verified by well designed experiments.
KEYWORDS
sentiment analysis; feature extraction; dependency grammarCITE THIS PAPER
Xinkai, Y. (2016) One subjective feature extraction method of sentiment analysis based on dependency grammar. Advances in Computer, Signals and Systems (2016) 1: 23-27.
REFERENCES
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[3] E. Riloff, S. Patwardhan, and J.Wiebe. Feature subsumption for opinion analysis[C]. Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2006. 274-286.
[4] Kim SM, Hovy E. Identifying and analyzing judgment opinions[C]. Proceedings of the Joint Human Language Technology/North American Chapter of the ACL Conf. (HLT-NAACL). Morristown: ACL, 2006, 200-207.
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