Network online comments and sentiment features analysis

With the rapid development of Internet technology, it is more convenient for people to communicate with each other at any time, public opinion is created on Internet and influences people's daily life deeply, for example the decision-making of government, organization and person. Network online comments which carry public opinion become a hotspot for researching during these years. In this paper, we summarize network online comments and sentiment features analysis. We get the extraction, expression and quantification of sentiment features. We look for the law of sentiment changes in the sequence, in order to provide a basis for decision-making. In the future we will research the stock index prediction algorithm based on sentiment features extracted from network online comments.