Paper Title
Machine Learning To Analyze Tweets To Improve Women’s Safety
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Registration ID: IJNRD_181820
Published ID: IJNRD2206071
: http://doi.one/10.1729/Journal.30691
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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.
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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
Issue
Volume 7 Issue 6, June-2022
Pages : 631-634
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Paper Reg. ID: IJNRD_181820
Published Paper Id: IJNRD2206071
Research Area: Computer Science & TechnologyÂ
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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