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Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications
book

Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications

by D. Jude Hemanth
January 2024
Beginner
254 pages
9h 7m
English
Morgan Kaufmann
Content preview from Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications
5

Hate speech detection using LSTM and explanation by LIME (local interpretable model-agnostic explanations)

Ravi Shekhar Tiwari,    École Centrale School of Engineering, Computer Science and Engineering, Mahindra University, Hyderabad, Telangana, India

Abstract

Nowadays, Social Media has a very high impact on everyone’s lives. Social media platforms such as Twitter, Facebook, and Instagram are open platforms where people can express their feelings, thoughts, and emotions. This can lead to a variety of opinions—can collide and lead to verbal conflicts. Therefore, it’s necessary to make social media sites safe by identifying and eliminating hate speech. Any statement that disparages an individual or a group based on a trait such as race, color, ...

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Publisher Resources

ISBN: 9780443220104