A System of Content Analysis of Social Media using AI and NLP

Authors

  • Tuhina Jayanta Banerjee Department of Computer Engineering, Mukesh Patel School of Technology Management and Engineering, NMIMS University, Mumbai, India

Keywords:

Social media, toxic comment, fake news, multimedia, machine learning

Abstract

This paper talks about the proposed solution towards the monitoring and analysis of social media content. Social media is a platform for interchanging thoughts, views and individual perspectives but without affecting the sentimental, religious, or personal feelings of the crowd. Also, the spread of fake news has been a trend on social media. Social media platforms also provide the functionality of hiding the user credentials of the account holder and thus the spread of ill-intentioned content is on a rise with the rise in usage of such platforms. This paper talks about a step taken towards the control of such ill-intentions by designing a system that analyzes and detects fake news, toxic comments, or posts in a text or any multimedia format. Also, it reads an ill-intended chat held in a group and monitors accordingly. We have currently worked on three social media platforms which are WhatsApp, Twitter and Instagram.

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Published

14-06-2021

Issue

Section

Articles

How to Cite

[1]
T. J. Banerjee, “A System of Content Analysis of Social Media using AI and NLP”, IJRESM, vol. 4, no. 6, pp. 132–136, Jun. 2021, Accessed: Dec. 30, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/844