Toward finer-grained sentiment identification in product reviews through linguistic and ontological analyses

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We propose categories of finer-grained polarity for a more effective aspect-based sentiment summary, and describe linguistic and ontological clues that may affect such fine-grained polarity. We argue that relevance for satisfaction, contrastive weight clues, and certain adverbials work to affect the polarity, as evidenced by the statistical analysis.
Publisher
The Association for Computational Linguistics (ACL)
Issue Date
2009-08-04
Language
English
Citation

Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009, pp.169 - 172

URI
http://hdl.handle.net/10203/160023
Appears in Collection
CS-Conference Papers(학술회의논문)
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