Author:
Mahajan Chetan,Mulay Preeti
Reference7 articles.
1. Aaron K. Baughman, Wesley Chuang, Kevin R. Dixon, Zachary Benz, and Justin Basilico,“DeepQA Jeopardy! Gamification:A Machine Learning Perspective”,IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 6, NO. 1, MARCH 2014.
2. Agarwal, A., Xie, B., Vovsha, I., Rambow, O., Passonneau, “R.: Sentiment analysis of twitter data.” In: Proc. ACL 2011 Workshop on Languages in Social Media. pp. 30-38 (2011).
3. Alvaro Ortigosa, José M. Martín, Rosa M. Carro, “Sentiment analysis in Facebook and its application to e-learning”, Elsevier:Computers in Human Behavior 31 527-541,2014.
4. Ana Carolina E.S. Lima, Leandro Nunes de Castro, “A multi-label, semi-supervised classification approach applied to personality prediction in social media”, Elsevier: Neural Networks 58 122-130,2014.
5. Gerald Petz, Michał Karpowicz, Harald Furschus, Vaclav Stritesky, Andreas Holzinger, “Computational approaches for mining user's opinionson the Web 2.0”,Elsever Information Processing and Management 50 (2014) 899-908.
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