Employing TF-IDF and Neural Language Processing for Sentiment Classification of Potentially Radical and Hate Speech on Social Media

Akshay Patidar

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SJIF Impact Factor 8.659 | ISSN: 2582-3930

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

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Paper ID:IJSREM49351

Employing TF-IDF and Neural Language Processing for Sentiment Classification of Potentially Radical and Hate Speech on Social Media

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IJSREM49351

Volume:

9 |

5 |

May 2025

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Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Akshay Patidar

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Abstract

Sentiment Analysis models are being used extensively as an important application of natural language processing. One such application is identification of hateful and radical speech on social media. With millions of posts and comments generated every day, relying solely on manual detection methods is impractical. Moreover, hate speech often evolves in subtle ways, making it difficult to track using predefined rules or simple

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based methods. This necessitates the development of automated systems capable of understanding and adapting to the nuanced and context-dependent nature of hate speech. The proposed approach combines TF-IDF and Neural Networks for identifying potential hate speech. The approach is based on the conjugate back propagation model along with term and group frequencies as additional features. It has been shown that the proposed approach attains higher classification accuracy compared to existing work in the domain

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Akshay Patidar, "Employing TF-IDF and Neural Language Processing for Sentiment Classification of Potentially Radical and Hate Speech on Social Media," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025.

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6/12/2025

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Employing TF-IDF and Neural Language Processing for Sentiment Classification of Potentially Radical and Hate Speech on Social Media

Stream/Area:

Subject:

Paper ID:

IJSREM49351

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

Digital Object Identifier

Not assigned

Share this article: