YSC-DSAA: An approach to disambiguate sentiment ambiguous adjectives based on SAAOL

Authors:
Shi-Cai Yang;Mei-Juan Liu
Affiliations:
Ningbo University of Technology, Ningbo, Zhejiang, China;Zhejiang Ocean University, Zhoushan, Zhejiang, China
Venue:
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Year:
2010

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Proceedings of the 22nd international conference on World Wide Web companion
SemEval-2010 task 18: disambiguating sentiment ambiguous adjectives

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Abstract

In this paper, we describe the system we developed for the SemEval-2010 task of disambiguating sentiment ambiguous adjectives (hereinafter referred to SAA). Our system created a new word library named SAA-Oriented Library consisting of positive words, negative words, negative words related to SAA, positive words related to SAA, and inverse words, etc. Based on the syntactic parsing, we analyzed the relationship between SAA and the keywords and handled other special processes by extracting such words in the relevant sentences to disambiguate sentiment ambiguous adjectives. Our micro average accuracy is 0.942, which puts our system in the first place.