Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/3556| 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 |
| URI: | http://hdl.handle.net/2080/3556 |
| Appears in Collections: | Conference Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| AKSwain_IEEE-iSES2020.pdf | 289.87 kB | Adobe PDF | View/Open |
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