基于话题自适应的中文微博情感分析

计算机科学 ›› 2013, Vol. 40 ›› Issue (11): 231-235.

基于话题自适应的中文微博情感分析

任远,巢文涵,周庆,李舟军

北京航空航天大学计算机学院北京100191;北京航空航天大学计算机学院北京100191;北京航空航天大学计算机学院北京100191;北京航空航天大学计算机学院北京100191

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受国家自然科学基金项目(61170189,61370126,61202239),高等学校博士学科点专项科研基金(20111102130003),软件开发环境国家重点实验室自选课题(SKLSDE-2013ZX-19),中央高校基本科研业务费专项基金(YWF-13-T-RSC-072)资助

Sentiment Analysis of Chinese Microblog Using Topic Self-adaptation

REN Yuan,CHAO Wen-han,ZHOU Qing and LI Zhou-jun

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 近年来,随着社会网络的迅速兴起,面向社会网络的情感分析技术逐渐成为数据挖掘领域新的研究热点。中文微博以其语言简短、文法灵活的特点,给情感分析的研究工作带来了新的挑战。对数据预处理、情感词典构造、话题元素引入等中文微博情感分析技术进行了系统的研究,提出了给情感词分级的方法以提升情感分析的准确度；同时提出了面向话题的自适应方法以更准确地识别情感词；最后实验结果验证了以上方法的有效性。

关键词: 中文微博,情感分析,情感词,话题自适应

Abstract: Recently,with the rapid development of social networks,sentiment analysis over social networks has gradually become a new hot research topic,especially in the field of data mining．The typical features of Chinese microblog (such as “short” and “flexible”) bring some new challenges for the researcher to analyze its sentiment．So this paper carried out a systematic study on Chinese microblogging emotional analysis technology,including data preprocessing,sentimental lexicon construction,topic adjunction．In additon,to improve the precision of sentiment analysis,a novel emotional words classification approach was proposed.Meanwhile,we proposed a topic-oriented adaptive method to promote the work of emotional words identification．And the experimental results demonstrate the feasibility and effectiveness of our approach.

Key words: Chinese microblog,Sentiment analysis,Sentimental words,Topic self-adaptation

任远,巢文涵,周庆,李舟军. 基于话题自适应的中文微博情感分析[J]. 计算机科学, 2013, 40(11): 231-235. https://doi.org/

REN Yuan,CHAO Wen-han,ZHOU Qing and LI Zhou-jun. Sentiment Analysis of Chinese Microblog Using Topic Self-adaptation[J]. Computer Science, 2013, 40(11): 231-235. https://doi.org/

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