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Paper Title

Machine Learning To Analyze Tweets To Improve Women’s Safety

Article Identifiers

Registration ID: IJNRD_181820

Published ID: IJNRD2206071

: http://doi.one/10.1729/Journal.30691

Keywords

Abstract

The harassment of women today occurs in several cities. It starts with stalking, which leads to abusive harassment. The main focus of this paper is on how social media can be used to promote the safety of women in India, specifically Twitter, Facebook, and Instagram, which are all social media platforms that promote social safety for women. A key component of this paper is the development of the common people's responsibilities in Indian cities in order to ensure the safety of women in the surrounding areas. Tweets contain text messages, audio files, videos, images, smiley faces, and hashtags. Using social media to spread a message about women's safety in Indian cities, including pictures and text, may be a powerful way to educate Indian youths about the importance of punishing harassers of women and taking harsh actions. A major goal of this article is to create a women's safety index that can be used for comparing the safety of women across a few major cities, including Delhi, Mumbai, Pune, and Chennai. The threat of violence and harassment against women and girls in public spaces in many cities ranges from stalking to sexual harassment and assault. There are a variety of statistical methods used to rank all cities based on distinct factors. This study primarily explores how social media can enhance women's safety in Indian cities.

How To Cite (APA)

Praneeth Narisetty & Saichand Mekala (June-2022). Machine Learning To Analyze Tweets To Improve Women’s Safety. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(6), 631-634. http://doi.one/10.1729/Journal.30691

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Other Publication Details

Paper Reg. ID: IJNRD_181820

Published Paper Id: IJNRD2206071

Downloads: 000122031

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Khammam, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2206071.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2206071

Crossref DOI: http://doi.one/10.1729/Journal.30691

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Call For Paper - Volume 10 | Issue 11 | November 2025

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