北京大学学报(自然科学版)

语义特征在评价对象抽取与极性判定中的作用

周红照,侯明午,颜彭莉,张叶青,侯敏,滕永林   

  1. 中国传媒大学国家语言资源监测与研究有声媒体中心, 北京 100024;
  • 收稿日期:2013-07-05 出版日期:2014-01-20 发布日期:2014-01-20

Function of Semantic Features in Opinion Target Extraction and Its Polarity Identification

ZHOU Hongzhao, HOU Mingwu, YAN Pengli, ZHANG Yeqing, HOU Min, TENG Yonglin   

  1. Broadcast Media Language Branch, National Language Resources Monitoring and Research Center, Communication University of China, Beijing 100024;
  • Received:2013-07-05 Online:2014-01-20 Published:2014-01-20

摘要: 提出与评价对象抽取相关的7类语义特征: 评价触发词、评价消解词、评价对象绝缘词、后指动词、前指动词、心理动词和指向定语的评价名词, 以及与极性判定相关的5类语义特征: 褒义性名词、贬义性名词、语义偏移型名词、度量衡形容词和语义构式。从引入语义特征的必要性以及如何使用这些特征两方面进行阐述。实验证明, 语义特征的引入有助于提高评价对象抽取及极性判断的准确率。

关键词: 语义特征, 评价对象抽取, 极性判定

Abstract: The authors bring forward seven types of semantic features related to opinion target extraction. They are evaluation-triggering words, evaluation-eliminating words, the words insulated from opinion target, the forward-orientated verbs, the backward-orientated verbs, the verbs of psychological movement and the attributive-directing verbs. Five types of semantic features related to polarity identification are also proposed. They are positive nouns, negative nouns, meaning-shifting nouns, measuring adjectives and semantic construction. The authors explain the twelve features from aspects of the necessity and their usages. The result shows that the application of semantic features improves the precision of the system.

Key words: semantic features, opinion target extraction, polarity identification

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