摘要
为了分析中文微博中海量的情感信息,文中提出了一种中文微博情感分析策略,能够有效分析出微博中的情感倾向。为了能准确分析出某领域微博情感倾向,本文构建了领域情感词典,具有自动识别、扩展等功能,减少了人工标注的繁琐。同时考虑到上下文中情感副词等影响,构建了情感副词词典,更加全面的分析情感倾向。最后通过实验表明本文提出的基于领域情感词典的分析策略有一定的可行性和准确率。
In order to analyze the massive emotional information in Chinese micro-blog, this article proposes a Chinese micro-blog sentiment analysis strategy, and it can analyze the emotional tendencies effectively in the micro-blog. In order to analyze the emotional tendencies of a field more accurately, this paper builds a kind of emotional dictionary through mood words with automatic identification, extended function, reduces cumbersome manual annotation. Considering the influence of emotional adverbs and expressions in the context, we build the emotional adverbs dictionary and micro-blog expressions which will analyze emotion tendency more comprehensively. In order to analyze the emotional tendencies more comprehensive, and solve the problem of more and more internet words, it constructs network vocabulary classifier to find and mark internet words. Finally, experiments show that the proposed analyze strategy which based on emotional dictionary has certain feasibility and accuracy.
出处
《电子设计工程》
2015年第12期18-21,共4页
Electronic Design Engineering
关键词
微博
情感分析
领域情感词典
分析策略
micro-blog
sentiment analysis
field of emotional dictionary
strategy analysis
