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基于网络语料的特定领域情感词典生成方法研究

Research on Domain-specific Sentiment Lexicon Generation Method Based on Web Corpus
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摘要 [目的/意义]旨在为构建特定领域情感词典提供参考。[方法/过程]基于同义词词典和基于语料库的特点,提出多元融合的词语关系图构建方法,利用半监督标签传播算法为未标记的词语分配情感极性,并进行实例分析。[结果/结论]该方法在自动生成特定领域词汇上具有优越性。 [Purpose/significance] The paper is to provide references for construction of domain-specific sentiment lexicon.[Method/process] Based on the characteristics of synonym dictionary and corpus,this paper proposes a multi-fusion method for constructing the relationship graph of words,uses the semi-supervised label propagation algorithm to assign the sentiment polarity to unlabeled words,and conducts an instance analysis.[Result/conclusion] The method has advantages in automatic generation of domain-specific vocabulary.
作者 张志武 陈国兰 Zhang Zhiwu;Chen Guolan(Library of Nanjing University of Posts and Telecommunications,Nanjing Jiangsu 210023;Institute of Scientific and Technological Information of Nanjing University of Posts and Telecommunications,Nanjing Jiangsu 210023)
出处 《情报探索》 2019年第4期1-6,共6页 Information Research
基金 江苏省高校哲学社会科学研究项目"基于商品评论情感挖掘的网络消费舆情倾向性分析研究"(项目编号:2015SJD129)成果
关键词 情感分析 特定领域词典 多元融合 网络语料 sentiment analysis domain-specific lexicon multiple fusion web corpus
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