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Aspect Based Sentiment Analysis by Fuzzy Logic

Author : Prachi Jain, Anubhav Srivastava, Vineet Singh and Bramah Hazela

Pages : 243-248, DOI:
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Sentiment is something that a person expresses through his actions, speech, expressions, text. Sentiment analysis helps in knowing about people’s opinions and emotions towards events and products. These opinions matters as it affects others’ opinion and helps in decision making. Up till now we have known the sentiment as few categories: angry, sad, happy, etc. but here the author proposes to throw some light on the intensity part of emotions showing the emotions which doesn’t exactly lie in the pre-decided categories. Fuzzy logic is an approach to find the degree of truth rather than fixed 0,1. Here in this paper a system is going to be proposed that uses fuzzy logic to classify opinions in categories as negative, strong negative, positive, strong positive. In this model, a system will be proposed for the imputation of the missing sentiment so as to generate a precise result.

Keywords: Aspect, Sentiment analysis, Fuzzy Logic, Label Propagation, Sentiment summarization.

Article published in International Journal of Current Engineering and Technology, Vol.9, No.2 (March/April 2019)

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