MACHINE LEARNING OF TWITTER FEEDS AND WOMEN SAFETY IN INDIAN CITIES

Authors

  • S. Gokulakrishnan Department of CSE, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India
  • Chitte Ashok Reddy Department of CSE, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India
  • Palutla Venkata Sai Anudeep Department of CSE, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India

DOI:

https://doi.org/10.58973/CTRJ.221112

Keywords:

Twitter, accuracy, , Harassment,, Indian cities,, Safety

Abstract

Aim: The paper focuses on the role of Twitter feeds in finding safety aspects of women and girls in Indian cities using machine learning algorithms.

Results: The data set obtained through Twitter about women and girls' safety status in Indian cities is analyzed using machine learning tools.

Conclusion: Machine learning algorithms help organize and analyze Twitter data, including millions of daily tweets and messages. The same can be extended to other social media platforms.

HIGHLIGHTS:

A simple machine learning algorithm will help analyze tweet feeds concerning girls' safety.

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Published

2022-10-05

How to Cite

S, G., Ashok Reddy, C., & Sai Anudeep, P. V. (2022). MACHINE LEARNING OF TWITTER FEEDS AND WOMEN SAFETY IN INDIAN CITIES. Computing Technology Research Journal, 1(1), 12–13. https://doi.org/10.58973/CTRJ.221112

Issue

Vol. 1 No. 1 (2022): October: Computing Technology Research Journal

Section

Short Communication

License

Copyright (c) 2022 Computing Technology Research Journal

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