Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3556
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dc.contributor.authorMohanty, Jaganath Prasad-
dc.contributor.authorSwain, Ayaskanta-
dc.contributor.authorMahapatra, Kamalakanta-
dc.date.accessioned2021-01-12T07:06:35Z-
dc.date.available2021-01-12T07:06:35Z-
dc.date.issued2020-12-
dc.identifier.citationIEEE-iSES 220, Chennai, India, 14-16Dec2020en_US
dc.identifier.urihttp://hdl.handle.net/2080/3556-
dc.descriptionCopyright of this paper is with proceedings publisheren_US
dc.description.abstractSentiment analysis being a polarity based detection technique, is going around in the academic research and industry domain for quite a long time, not only seeing the economic bene-fits to both fields alike, but also the significance in understanding human behavior. In this work, Natural Language Processing(NLP) is done to accurately recognize the sentiment behind the gestures of a specially abled individual, to analyse their behavior in real time considering different application platformsen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectNatural Language Processingen_US
dc.subjectNatural Language Processingen_US
dc.subjectGesture Recognitionen_US
dc.subjectSign Languageen_US
dc.titlePredicting Sentiments to an accuracy matching thegesture recognized for the specially-ableden_US
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