Paper Title

Harnessing text classification using text mining and deep learning to safeguard online discourse

Article Identifiers

Registration ID: IJNRD_218724

Published ID: IJNRD2405025

DOI: Click Here to Get

Authors

E. JonesMerlin , T.Bhuvaneswari , S.priyadharshini , V.Ruba , S.Subasri

Keywords

User Online discourse,safeguard,text mining

Abstract

Everyone is entitled to the right to free speech. However, in the guise of free expression, this privilege is being abused to discriminate against and harm other people. This prejudice is referred to as hate speech. A clear definition of hate speech is language that expresses hatred for an individual or a group of individuals based on traits including race, religion, ethnicity, gender, nationality, handicap, and sexual orientation. It can be communicated by voice, writing, gesture, or exhibition when someone is attacked due of the group to which they belong. Hate speech has been more prevalent both offline and online in recent years. The social media and other online platforms play a significant role in the development and dissemination of hateful information, which eventually fuels hate crimes. The growing use of social media and information sharing has brought about significant advantages for humanity. But this has also given rise to a number of issues, such as the disseminating and sharing of hate speech messages.This project's goal is to examine comments on social networks using Natural Language Processing (NLP) and a Deep Learning method called Valence Aware Dictionary for Sentiment Reasoning (VADER) method. In order to identify the text as positive or negative, VADER are used to extract the keywords from user-generated content. If it's negative, immediately block the comments in accordance with the user's preferences and block the friends in accordance with pre-established threshold values.

How To Cite (APA)

E. JonesMerlin, T.Bhuvaneswari , S.priyadharshini , V.Ruba, & S.Subasri (May-2024). Harnessing text classification using text mining and deep learning to safeguard online discourse . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), a247-a251. https://ijnrd.org/papers/IJNRD2405025.pdf

Issue

Volume 9 Issue 5, May-2024

Pages : a247-a251

Other Publication Details

Paper Reg. ID: IJNRD_218724

Published Paper Id: IJNRD2405025

Downloads: 000121979

Research Area: Computer Science & Technology 

Country: Perambalur , Tamil Nadu , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405025.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405025

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

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Subject Category: Research Area

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