A hybrid model of sentimental entity recognition on mobile social media

Author:

Wang Zhibo,Cui Xiaohui,Gao Lu,Yin Qi,Ke Lei,Zhang Shurong

Funder

National Nature Science Foundation of China

Fundamental Research Funds for the Central Universities of China

Nature Science Foundation of Hubei, China

Outstanding Academic Talents Startup Funds of Wuhan University

Youth Funds of Science and Technology in Jiangxi Province Department of Education

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Reference14 articles.

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2. A Apoorv, X Boyi, V Ilia, R Owen, P Rebecca, Sentiment analysis of Twitter data, in Proceedings of the Workshop on Languages in Social Media [D], LSM ’11 (Association for Computational Linguistics, Stroudsburg, PA, USA, 2011), pp. 30–38

3. Pak A, Paroubek P. Twitter as a corpus for sentiment analysis and opinion mining[C] Seventh Conference on International Language Resources & Evaluation. 2010

4. Read J. Using emoticons to reduce dependency in machine learning techniques for sentiment classification. Proceedings of the ACL Student Research Workshop. Association for Computational Linguistics, 2005:43–48

5. Go A, Bhayani R, Huang L. Twitter sentiment classification using distant supervision. Cs224n Project Report, 2009:1–12

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