基于情感词典扩展技术的网络舆情倾向性分析

Analysis on Web Public Opinion Orientation Based on Extending Sentiment Lexicon

随着Web2.0时代的到来,网络已逐渐成为反映社会舆情的重要载体之一,网络舆情发现及网民的观点和倾向性挖掘也成为新的研究热点,但是目前尚无有效反应网民对热点事件或话题总体态度的舆情分析系统.本文针对网民关于话题评论简单、数目众多的特点,应用HowNet和NTUSD两种资源对现有情感词典进行扩展,建立了一个新的、具有倾向程度的情感词典.基于扩展的情感词典,开发了一个半自动化网络舆情分析系统.该系统能够为用户提供更加细致。

As the Web 2.0,network becomes one of the important medium for reflecting public opinions,finding and mining public opinion orientation become an issue.But till now,no effective opinion monitoring system of reflecting the total orientation of the netizens on some hot events or topics has been proposed.In this paper,according to the characteristics of simplicity and large amount of opinions on some topics,an existing sentiment words lexicon is extended using HowNet and NTUSD,and a new sentiment lexicon with sentiment orientation extent is built.Based on the extended sentiment lexicon,a semi-automatic web public opinion analysis system is proposed,which can provide users more detail and precise opinion orientation analysis results.