Abstract
Internet has gained a wide popularity in recent years. The people’s interaction and sharing of their views about a particular subject and providing feedback to them have increased rapidly. The feedbacks are mainly in the form of numeric rating and free text words. The numeric rating can be easily processed but to process free text words is an important task. In this paper, different approaches are reviewed and based on that a self-learning feedback analysis system is proposed, which analyzes the feedback and provides an accurate result that helps in decision making.
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Agrawal, P.K., Alvi, A.S., Bamnote, G.R. (2016). Natural Language-Based Self-learning Feedback Analysis System. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 380. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2523-2_9
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DOI: https://doi.org/10.1007/978-81-322-2523-2_9
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