Structured microblog sentiment classification via social context regularization

Author:

Wu Fangzhao,Huang Yongfeng,Song Yangqiu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference38 articles.

1. Predicting user-topic opinions in twitter with social and topical context;Ren;IEEE Trans. Affect. Comput.,2013

2. Opinionflow: visual analysis of opinion diffusion on social media;Wu;IEEE Trans. Vis. Comput. Graph.,2014

3. B. O׳Connor, R. Balasubramanyan, B.R. Routledge, N.A. Smith, From tweets to polls: linking text sentiment to public opinion time series, In: Proceedings of the International AAAI Conference on Weblogsand Social Media (ICWSM), 2010, pp. 122–129.

4. A. Tumasjan, T.O. Sprenger, P.G. Sandner, I.M. Welpe, Predicting elections with twitter: what 140 characters reveal about political sentiment, In: Proceedings of the International AAAI Conference on Weblogsand Social Media (ICWSM), vol. 10, 2010, pp. 178–185.

5. J. Bollen, H. Mao, A. Pepe, Modeling public mood and emotion: twitter sentiment and socio-economic phenomena, In: Proceedings of the International AAAI Conference on Weblogsand Social Media (ICWSM), 2011, pp. 17–21.

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