Identifying sentiments over N-gram

Authors:
Noriaki Kawamae
Affiliations:
NTT Comware, Chiba, Japan
Venue:
Proceedings of the 21st international conference companion on World Wide Web
Year:
2012

Citing 2
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Abstract

Our proposal, identifying sentiment over N-gram (ISN) focuses on both word order and phrases, and the interdependency between specific rating and corresponding sentiment in a text to detect subjective information.