Research on the Comment Emotion Based Program Satisfaction Model

Author:

Yin Fulian1,Ji Meiqi1,Xu Ronge1,Xia Xinyu1

Affiliation:

1. College of Information and Communication Engineering, Communication University of China, Beijing China

Funder

the National Natural Science Foundation of China

Publisher

ACM Press

Reference16 articles.

1. Zhao W, Shen L. Research on the Attitude Communication Ecology of Weibo and WeChat in the Background of Social Media User Migration[J].China Soft Science, 2015, (10):60--69.

2. Liu L, Li X, Zhang B. A Review of Research on Negative Emotions and Negative Use Behaviors of Social Media Users[J]. Journal of Information, 2018, 37(1):105--113.

3. Li J, Xie Y.Study on Social Media Communication Behavior of College Students in Social Hot Events--An Empirical Analysis Based on Ten Universities in Shanghai[J].Journalist, 2018, (1):90--96.

4. Bo P., Lee L., Vaithyanathan S.. Thumbs up: sentiment classification using machine learning techniques[C]. Acl-02 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2002, pp.79--86.

5. Turney P. D., Littman M. L.. Measuring praise and criticism: Inference of semantic orientation from association[J]. ACM Transactions on Information Systems, 21(4), 2003, pp.315--346.

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