Tool for identifying and categorizing the Twitter bot's using Machine Learning

Authors

  • Prof. J. N. Ekatpure  Department of B.E. Computer, SBPCOE, Indapur, Maharashtra, India
  • Harshad Barve  Department of B.E. Computer, SBPCOE, Indapur, Maharashtra, India
  • Aditya Bhange  Department of B.E. Computer, SBPCOE, Indapur, Maharashtra, India
  • Sanket Patil  Department of B.E. Computer, SBPCOE, Indapur, Maharashtra, India
  • Aadit Yadav  Department of B.E. Computer, SBPCOE, Indapur, Maharashtra, India

Keywords:

Summarization, Classification, Identification, Machine Learning, Analyze, Data Analysis

Abstract

In today's day-to-day life, plenty of people use Twitter in order to get new information as well as for entertainment purposes. Many of us are aware of the bots on Twitter. Some bots are very useful and help users to do some activities like retweeting, replaying a particular message, and so on. On the other hand, there are some bots on Twitter which are harmful to users' sensitive information. Those bots cause some crucial damage to the user's privacy. Also, some third-party users use the sensitive information of the user gathered for harmful bots for many harmful purposes.
In this project, we discuss a tool that helps the user to identify which are useful bots and which are harmful bots. This tool also helps to classify bots on Twitter into two categories as follows:

  1. Useful bots
  2. Harmful Bots

The purpose of this tool is to provide safety measures to users while using Twitter. Also, this helps to classify the useful as well as harmful bots on Twitter in order to use Twitter safely and use the useful bots for their useful purpose and save their time as well as sensitive information.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-10-30

Issue

Volume 9, Issue 10, September-October-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. J. N. Ekatpure, Harshad Barve, Aditya Bhange, Sanket Patil, Aadit Yadav, " Tool for identifying and categorizing the Twitter bot's using Machine Learning" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 10, pp.41-50, September-October-2023.