YSC-DSAA: An Approach to Disambiguate Sentiment Ambiguous Adjectives Based on SAAOL

Proceedings of the 5th International Workshop on Semantic Evaluation, ACL 2010, pages 440–443, Uppsala, Sweden, 15-16 July 2010. c⃝2010 Association for Computational Linguistics YSC-DSAA: An Approach to Disambiguate Sentiment Ambiguous Adjectives Based On SAAOL Shi-Cai Yang Ningbo University of Technology Ningbo, Zhejiang, China nbcysc@126.com Mei-Juan Liu Zhejiang Ocean University Zhoushan, Zhejiang, China azalea1212@126.com Abstract In this paper, we describe the system we de- veloped for the SemEval-2010 task of disam- biguating sentiment ambiguous adjectives (hereinafter referred to SAA). Our system cre- ated a new word library named SAA-Oriented Library consisting of positive words, negative words, negative words related to SAA, posi- tive words related to SAA, and inverse words, etc. Based on the syntactic parsing, we ana- lyzed the relationship between SAA and the keywords and handled other special processes by extracting such words in the relevant sen- tences to disambiguate sentiment ambiguous adjectives. Our micro average accuracy is 0.942, which puts our system in the first place. 1 Introduction We participated in disambiguating sentiment ambiguous adjectives task of SemEval-2010(Wu and Jin, 2010). Together 14 sentiment ambiguous adjectives are chosen by the task organizers, which are all high-frequency words in Mandarin Chinese. They are: 大|big, 小|small, 多|many, 少|few, 高 |high, 低 |low, 厚 |thick, 薄 |thin, 深 |deep, 浅 |shallow, 重|heavy, 轻|light, 巨大|huge, 重大 |grave. These adjectives are neutral out of con- text, but when they co-occur with some target nouns, positive or negative emotion will be evoked. The task is designed to automatically determine the semantic orientation of these sen- timent ambiguous adjectives within context: positive or negative (Wu and Jin, 2010). For in- stance, “价格高|the price is high” indicates negative meaning, while “质量高|the quality is high” has positive connotation. Considering the grammar system of contem- porary Chinese, a word is one of the most basic linguistic granularities consisting of a sentence. Therefore, as for the sentiment classification of a sentence, the sentiment tendency of a sentence can be identified on the basis of that of a word. Wiebe et al. (2004) proposed that whether a sen- tence is subjective or objective should be dis- criminated according to the adjectives in it. On the basis of General Inquirer Dictionary, A Learner’s Dictionary of Positive and Negative Words, HowNet , A Dictionary of Positive Words and A Dictionary of Negative Words etc., Wang et al.(2009) built a word library for Chinese sen- timent words to discriminate the sentiment cate- gory of a sentence using the weighted linear combination method. Unlike the previous researches which have not taken SAA into consideration specially in dis- criminating the sentiment tendency of a sentence, in the SemEval-2010 task of disambiguating sen- timent ambiguous adjectives, systems have to predict the sentiment tendency of these fourteen adjectives within specific context. From the view of linguistics, first we devel- oped a SAA–oriented keyword library, then ana- lyzed the relationship between the keywords in the clauses and SAA, and classified its positive or negative meaning of SAA by extracting the clauses related to SAA in the sentence. 2 …

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