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

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.

• Type: Journal
• Year: 2009
• Where: ACL
• Authors: Hye-Jin Min, Jong C. Park
• Keywords: ACL 2009, Computational Linguistics, Contrastive Weight Clues, Effective Aspect-based Sentiment, Finer-grained Polarity