Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/33450
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dc.contributor.authorPrabhadevi, S-
dc.contributor.authorJayavel, S-
dc.contributor.authorKapoor, R-
dc.date.accessioned2015-12-09T10:37:10Z-
dc.date.available2015-12-09T10:37:10Z-
dc.date.issued2015-12-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/33450-
dc.description670-674en_US
dc.description.abstractEmotions 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.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.74(12) [December 2015]en_US
dc.subjectArtificial Intelligenceen_US
dc.subjectEmotionsen_US
dc.subjectContext Based Learningen_US
dc.subjectPattern Recognitionen_US
dc.subjectAttribute Graphen_US
dc.titleAlgorithm of Sentiment Analysis for Computing Machinesen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.74(12) [December 2015]

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