Please use this identifier to cite or link to this item:
Title: Predicting Sentiments to an accuracy matching thegesture recognized for the specially-abled
Authors: Mohanty, Jaganath Prasad
Swain, Ayaskanta
Mahapatra, Kamalakanta
Keywords: Artificial Intelligence
Natural Language Processing
Natural Language Processing
Gesture Recognition
Sign Language
Issue Date: Dec-2020
Citation: IEEE-iSES 220, Chennai, India, 14-16Dec2020
Abstract: Sentiment 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 platforms
Description: Copyright of this paper is with proceedings publisher
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
AKSwain_IEEE-iSES2020.pdf289.87 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.