Author(s)

Yue Zhang, Xiaohuan Gao

Corresponding Author

Yue Zhang

Abstract

In this paper, we will use the naive Bayesian classification method to analyze the sentiment of the “ticket- snatching speedup package” from Weibo. Using the train browser to crawl data on Weibo, after manual labeling, word segmentation and feature selection, randomly select 80% as a training set to construct a naive Bayes classifier. After testing the test set, the correct rate of the constructed naive Bayes classifier was 71.5%. It can help to automatically discover public sentiment and public opinion trends, which is of great significance to the development of major ticketing platforms.

Keywords

Naive Bayes, Weibo, Emotional Analysis