[Objective] In a specific domain, sentiment analysis, mostly based on general lexicon, cannot identify the context-specific sentiment belonging to the domain. Also, the same word in the specific domain shows different polarities (positive, negative, neutral) when describing different properties. The objective of this paper is to solve the problems described above. [Methods] A sentiment analysis approach based on domain-oriented specific sentiment phrases is proposed. By developing feature-sentiment Ontology, general sentiment and specific sentiment can be divided during the process of sentiment analysis. [Results] The proposed method shows fairly better results of precision and recall in terms of phrase-level sentiment analysis. [Limitations] In order to get better analysis, the Ontology should cover the concepts in the related field as much as possible and should be well-built; the authors ignore the syntactic rules during the concept extraction and sentiment analysis, because the product comments are not normative; in the phase of sentiment analysis, the authors assume that the context like conjunction would not affect the polarity. [Conclusions] The new method not only makes improvement on sentiment analysis by solving the problem described above, but also proposes a new way for sentiment lexicon management.
杜嘉忠, 徐健, 刘颖. 网络商品评论的特征-情感词本体构建与情感分析方法研究*[J]. 现代图书情报技术, 2014, 30(5): 74-82.
Du Jiazhong, Xu Jian, Liu Ying. Research on Construction of Feature-Sentiment Ontology and Sentiment Analysis. New Technology of Library and Information Service, 2014, 30(5): 74-82.
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