A study on micro-blog sentiment analysis of public emergencies under the environment of big data

In the environment of big data, We-media data which was produced on the public emergencies has presented the characteristics such as mass data, complex structure, various types, and so on. The analysis and guidance of public sentiment is very important to the healthy development of public events. This paper focuses on the micro-blog data of Tianjin explosion event. After the micro-blog contents collection using the crawler tools, the word frequencies, hot topics and the tendency of the different emotions behind the micro-blog were analyzed by software and tools. And some discussions of the influence by diffident emotions are given at the end of the article.