Abstract
Social media provide a platform to share the people's opinion andviews. Identifying sentiment of a writer is an interesting and emergent area.A suitable preprocessing is carried out to make the unstructured data usable for preprocessing and analysis.In this paper we review various research papers on emotion and sentiment analysis of writer over social media.During review, methods based on lexicon ,Bayesian and cognition is analysed .It is observed that the emotion and sentiment of a writter can be extracted both from comment and cognition level of the writter.Based on our review, it is concluded that the sentiment and emotion classification with normal and existing classification algorithms may not provide effective result. The cognitive theories namely computational cognitive and intuitive theory can improve the sentiment and emotion prediction.
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Acknowledgement
The work done is supported by research grant from the Indo-US 21st century knowledge initiative program under Grant F. No/94-5/2013(IC) dated 19-08-2013.
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Vetriselvi, T., Vadivel, A. (2015). Sentiment and Emotion Prediction through Cognition: A Review. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_102
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DOI: https://doi.org/10.1007/978-3-319-08422-0_102
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