Sentiment analysis of Internet performance data

Abstract

With the development of Internet technology, we are now in the era of big data. More and more people are used to posting their thoughts and feelings online. Especially, analyzing the information that can reflect the emotional tendency of the audience plays an important role to the performance unit. There is no doubt that good user reviews are an intangible asset for a performance or a movie and free advertising. However, poor user reviews can significantly reduce performance. Emotional analysis is a technique involving natural language processing, data mining and artificial intelligence. Meanwhile, recently it has become a hot topic. Taking movie reviews data collected from douban.com as an example, the paper will use text sentiment analysis technology that belongs to the data mining field to analyze data in the Python-based environment. The paper will empirically analyze the logical relationship between the text data and film's effects, draws conclusion related to films and comments, and finally shows hot words which reflect multi-dimensional evaluation.