面向网络新闻领域的评论情感极性分析

发布时间：2018-05-07 02:26

  本文选题：情感极性 + 网络新闻评论　； 参考：《计算机工程与应用》2017年01期

【摘要】：网络新闻评论情感分析对于互联网时代分析舆情、掌握民调具有重要意义。目前研究聚焦在评论自身的分析而忽略评论间的结构关系,因此利用该关系生成评论关系树,并基于评论关系树建立情感极性判别规则。将评论经过预处理后,同时采用基于扩展情感词典和支持向量机两种方法来进行情感极性分析,动态扩展了情感词典,设计了情感极性分类器。实验结果表明,在利用了评论结构关系之后,两种方法的分析准确率均较没利用该关系之前有了明显的提升。
[Abstract]:The emotional analysis of network news commentary is of great significance for analyzing public opinion and mastering opinion polls in the internet age. At present, the research focuses on the analysis of the commentary itself and neglects the structural relationship between the comments. Therefore, the relationship is used to generate the comment relation tree, and based on the comment relation tree, the rules of judging the emotional polarity are established. After the comments are preprocessed, two methods based on extended emotion dictionary and support vector machine are used to analyze the emotion polarity, the emotion dictionary is dynamically expanded, and the emotion polarity classifier is designed. The experimental results show that the analytical accuracy of the two methods is significantly higher than that of the former.
【作者单位】： 武汉大学计算机学院;
【基金】：国家自然科学基金(No.61272109)
【分类号】：TP391.1
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本文编号：1854999