Hate speech recognition in multilingual text: hinglish documents

The Internet is a boon for mankind but its misuse has been increasing drastically. Social networking platforms such as Facebook, Twitter and Instagram play a predominant role in expressing views by the users. Sometimes users wield abusive or inflammatory language, that may provoke readers. This pape...

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Bibliographic Details
Published in:	International journal of information technology (Singapore. Online) Vol. 15; no. 3; pp. 1319 - 1331
Main Authors:	Yadav, Arun Kumar, Kumar, Mohit, Kumar, Abhishek, Shivani, Kusum, Yadav, Divakar
Format:	Journal Article
Language:	English
Published:	Singapore Springer Nature Singapore 01.03.2023 Springer Nature B.V
Subjects:	Accuracy Artificial Intelligence Computer Imaging Computer Science Datasets Deep learning Digital media Embedding Hate speech Image Processing and Computer Vision Internet Literature reviews Machine Learning Misogyny Original Research Pattern Recognition and Graphics Social networks Software Engineering Speech recognition Violence Vision Words (language) India Deep learning CNN BiLSTM Hate speech Machine learning Word2Vec
ISSN:	2511-2104, 2511-2112
Online Access:	Get full text
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