[1]潘明慧,牛耘. 基于多线索混合词典的微博情绪识别[J].计算机技术与发展,2014,24(09):28-32.
　PAN Ming-hui,NIU Yun. Emotion Recognition of Micro-blogs Based on a Hybrid Lexicon[J].,2014,24(09):28-32.
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 基于多线索混合词典的微博情绪识别()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年09期
页码:
28-32
栏目:
智能、算法、系统工程
出版日期:
2014-09-10

文章信息/Info

Title:
 Emotion Recognition of Micro-blogs Based on a Hybrid Lexicon
文章编号:
1673-629X（2014）09-0028-05
作者:
 潘明慧; 牛耘
 南京航空航天大学 计算机科学与技术学院
Author(s):
 PAN Ming-hui; NIU Yun
关键词:
 ; 微博; 情绪分析; 情绪词典; 表情符
Keywords:
 ; micro-blog; emotion analysis; emotion lexicon; emoticons
分类号:
TP391.1
文献标志码:
A
摘要:
 微博等社交媒体为人们情绪表达提供了重要平台，分析微博的情绪倾向具有重要的商业价值和社会意义。文中提出了基于词典的规则方法识别微博所表达的喜、哀、怒、惧、恶、惊六种情绪。针对情绪表达的重要线索表情符利用互信息法生成了表情符词典，与传统情绪词典相结合，制定了针对否定用法的规则对微博进行分析。建立了第一个包含六种情绪的人工标注微博数据集。实验表明，传统的情绪词典虽然收录了大量词汇，但对于社交媒体文本分析的准确率和覆盖率都不高。表情符词典的应用显著地提高了微博情绪分析的精度和覆盖率。
Abstract:
 The proliferation of micro-blogs has created a popular digital platform where people are able to express emotions and share feelings. Analysis of emotions in micro-blogs would be potentially beneficial to companies and the society. In this paper,a lexicon-based approach is proposed to identify six emotions in micro-blog text,including joy,sadness,anger,fear,disgust and surprise. A lexicon of emoticons is built based on the mutual information method between emoticons and emotions. Combined with a traditional emotion lexicon in this approach,negation rules are made to process negations in emotion expression to analyze mirco-blog. The first corpus of Chinese micro-blogs manually annotated with the six emotions is built as the test set. The experimental results show that the traditional lexicon has a moderate accuracy and coverage in analysis of micro-blog text. The combination of the two lexicons greatly improves the accuracy and coverage.

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更新日期/Last Update: 2015-04-01