Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/33450
Title: Algorithm of Sentiment Analysis for Computing Machines
Authors: Prabhadevi, S
Jayavel, S
Kapoor, R
Keywords: Artificial Intelligence;Emotions;Context Based Learning;Pattern Recognition;Attribute Graph
Issue Date: Dec-2015
Publisher: NISCAIR-CSIR, India
Abstract: Emotions are a way to think which tune the machinery of the brain. People without emotions are less effective thinkers and decision makers. The concept of artificial intelligence was introduced so that machines can behave just like humans but they remain incomplete without emotions. This study brings out an algorithm for sentiment analysis which may deduce emotional state of the object, it is interacting with.  A statistical and probabilistic approach is proposed in this paper to teach the model the essence of emotions using context based learning.
Page(s): 670-674
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.74(12) [December 2015]

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