Abstract
Emotion extraction from text is the categorization of given pieces of text (reviews/comments) into diffident emotions with NLP techniques. Now a days, internet is flooded with individual’s social interaction. Also there are emotionally rich environments on the internet where close friends can share their emotions, feelings and thoughts. It has lots of applications in the next generation of human-computer interfaces. Experimentation aims at evaluating efficiency performance of proposed KEA algorithm for emotion extraction from text for ISEAR dataset as well as for any user defined comments. Fuzzy rules also have been incorporated in the algorithm.
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Shelke, N., Deshpande, S., Thakare, V. (2017). Approach for Emotion Extraction from Text. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-10-3156-4_70
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