基于句法信息的微博情绪识别方法研究

doi:10.11896/j.issn.1002-137X.2017.02.040

摘要/Abstract

摘要： 情绪识别旨在自动识别文本是否含有情绪。情绪识别是情感分析研究中的一项基本任务。针对该任务,提出了一种基于句法信息的微博文本情绪识别方法。该方法的特色在于充分考虑了微博文本的句法信息。具体实现中,首先利用词性标注(POS)序列和结构句法树来表示句法信息,以分别提取POS序列模式、重写规则和二元句法标签作为特征进行文本表示；然后利用最大熵分类算法对微博文本进行情绪识别。实验结果表明, 所提方法能够获得较好的识别效果。

关键词: 自然语言处理,微博,情绪识别,POS序列模式,句法树

Abstract: Emotion recognition aims to predict the involving emotion towards a piece of text.Automatic emotion recognition is a basic task for sentiment analysis.In this paper,an emotion recognition for Chinese microblogs approach based on syntactic information was proposed.One distinguishing feature of the proposed method is that the microblog’s syntactic information is employed.Specifically,we took advantage of POS (part of speech) sequence and syntactic tree to represent syntactic information in order to extract POS sequence pattern,rewrite rules and bigrams of syntactic labels as features for text representation.Then,we utilized the maximum entropy algorithm to perform the classification.Experimental studies demonstrate that our approach is very effective for emotion recognition.

Key words: Natural language processing,Microblog,Emotion recognition,POS sequence pattern,Syntax tree

黄磊,李寿山,周国栋. 基于句法信息的微博情绪识别方法研究[J]. 计算机科学, 2017, 44(2): 244-249. https://doi.org/10.11896/j.issn.1002-137X.2017.02.040

HUANG Lei, LI Shou-shan and ZHOU Guo-dong. Emotion Recognition of Chinese Microblogs with Syntactic Information[J]. Computer Science, 2017, 44(2): 244-249. https://doi.org/10.11896/j.issn.1002-137X.2017.02.040

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