iFeel: a system that compares and combines sentiment analysis methods

@article{Arajo2014iFeelAS,
  title={iFeel: a system that compares and combines sentiment analysis methods},
  author={Matheus Ara{\'u}jo and Pollyanna Gonçalves and M. Cha and Fabr{\'i}cio Benevenuto},
  journal={Proceedings of the 23rd International Conference on World Wide Web},
  year={2014}
}
Sentiment analysis methods are used to detect polarity in thoughts and opinions of users in online social media. As businesses and companies are interested in knowing how social media users perceive their brands, sentiment analysis can help better evaluate their product and advertisement campaigns. In this paper, we present iFeel, a Web application that allows one to detect sentiments in any form of text including unstructured social media data. iFeel is free and gives access to seven existing… 
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A new method that combines existing approaches, providing the best coverage results and competitive agreement is developed and a free Web service called iFeel is presented, which provides an open API for accessing and comparing results across different sentiment methods for a given text.
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