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http://hdl.handle.net/2080/3556
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mohanty, Jaganath Prasad | - |
dc.contributor.author | Swain, Ayaskanta | - |
dc.contributor.author | Mahapatra, Kamalakanta | - |
dc.date.accessioned | 2021-01-12T07:06:35Z | - |
dc.date.available | 2021-01-12T07:06:35Z | - |
dc.date.issued | 2020-12 | - |
dc.identifier.citation | IEEE-iSES 220, Chennai, India, 14-16Dec2020 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/3556 | - |
dc.description | Copyright of this paper is with proceedings publisher | en_US |
dc.description.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 | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Natural Language Processing | en_US |
dc.subject | Natural Language Processing | en_US |
dc.subject | Gesture Recognition | en_US |
dc.subject | Sign Language | en_US |
dc.title | Predicting Sentiments to an accuracy matching thegesture recognized for the specially-abled | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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AKSwain_IEEE-iSES2020.pdf | 289.87 kB | Adobe PDF | View/Open |
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