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| Research on Sentiment Evaluation of Online Public Opinion Based on the Bayesian Model in a Mobile Environment: The Case of “China Women’s Volleyball Won the Championship in the Rio Olympics” in SinaWeibo |
| Wang Xiwei1, 2, Zhang Liu1, Wen Qing1, Wang Nan’axue1 |
1. School of Management, Jilin University, Changchun 130022;
2. Research Center for Big Data Management, Jilin University, Changchun 130022 |
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Abstract It is extremely important to understand and master the evolution rules of the emotional evolution of online public opinion forum users and to build an emotional evolution model within the mobile environment. It is also important for the relevant departments to strengthen the supervision of online public opinion information within the mobile environment and to guide the trends of online public opinion correctly. On the basis of the naive Bayes model, this paper uses training of word vectors, text preprocessing, and performance evaluation to process emotional evolution. Using the three visual dimensions of word frequency, region, and time, we constructed an emotional analysis model of users' online public opinion comments within a mobile environment, and, as an example, we used the sinaWeibo “China Women’s Volleyball Won the Championship in the Rio Olympics” topic to visualize and analyze the process of emotional evolution. The emotional analysis model constructed in this paper can be effectively applied to research on the emotional evolution of online public opinion users within the mobile environment. The empirical results demonstrate that Sina micro-blog users mainly applied positive emotions to the “China Women’s Volleyball Won the Championship in the Rio Olympics” topic. Developed areas, such as the municipalities directly under the central government and the coastal provinces, compared to the southwest, the less developed provinces in Northeast China and other less developed provinces, were more optimistic about the topic.
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Received: 18 October 2017
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