A novel sentiment analysis of social networks using supervised learning

Author:

Anjaria Malhar,Guddeti Ram Mohana Reddy

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Reference41 articles.

1. Aragón P et al (2013) Communication dynamics in Twitter during political campaigns: the case of the 2011 Spanish national election. Policy & Internet 5(2):183–206. doi: 10.1002/1944-2866.POI327

2. Berger AL, Della Pietra VJ, Della Pietra SA (1996) A maximum entropy approach to natural language processing. J Comput Linguist 22(1):39–71

3. Asur S, Huberman B (2010) Predicting the future with social media. In: WI-IAT’10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on web intelligence and intelligent agent technology, vol 01, pp 492–499

4. Boutet A et al (2013) What’s in your tweet: I know who you supported in the UK 2010 general elections. In: Association for the Advancement of Artificial Intelligence

5. Bakliwal A (2013) Sentiment analysis of political tweets: towards an accurate classifier. In: Proceedings of the Workshop on language in social media (LASM 2013), Atlanta, Georgia, pp 49–58

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