Abstract
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. © 2009 ACL and AFNLP.
Cite
CITATION STYLE
Min, H. J., & Park, J. C. (2009). Toward finer-grained sentiment identification in product reviews through linguistic and ontological analyses. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. (pp. 169–172). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1667583.1667635
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
