面向微博短文本的情感分析和特征抽取

Sentiment Analysis and Feature Extraction of Weibo Short Text

微博作为一种互动性很强的互联网应用,已经成为人们发表意见、表述情感的重要的途径。文章以柴静的《穹顶之下》中的"雾霾问题"为切入点,收集到千余条微博的相关数据。结合情感词典,采用情感分析方法对微博文本的舆论内容进行情感分析,进而快速、及时、较客观地展现出该事件的舆情状况。另外通过对雾霾现状的分析,可以为相关职能部门了解民意,并作出决策发挥必要的作用。

As the interactive Internet application, weibo has become the important way for the general public to express opinions and emotions. This paper used haze problem in Chai Jing＇s Below the Dome as the entry point, and collected more than a thousand relevant weibo data. The experiment combined sentiment lexicon with sentiment analysis technology to analyze sentiment of Sina weibo ＇s text public opinions, and then expressed the public opinion situation of the event quickly, timely and objectively. In addition, through the analysis of the status quo of haze, it can help the relevant functional departments understand public opinions and play a necessary role in decision-making.