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

ACL ID P09-2043
Title Toward finer-grained sentiment identification in product reviews through linguistic and ontological analyses
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

We propose categories of finer-grained polari- ty for a more effective aspect-based sentiment summary, and describe linguistic and ontolog- ical clues that may affect such fine-grained po- larity. We argue that relevance for satisfaction, contrastive weight clues, and certain adver- bials work to affect the polarity, as evidenced by the statistical analysis.