MACHINE LEARNING OF TWITTER FEEDS AND WOMEN SAFETY IN INDIAN CITIES

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.