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IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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Impact Factor : 8.76

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Paper Title: Machine Learning To Analyze Tweets To Improve Women’s Safety
Authors Name: Praneeth Narisetty , Saichand Mekala
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IJNRD_181820
Published Paper Id: IJNRD2206071
Published In: Volume 7 Issue 6, June-2022
DOI: http://doi.one/10.1729/Journal.30691
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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Cite Article: "Machine Learning To Analyze Tweets To Improve Women’s Safety", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 6, page no.631-634, June-2022, Available :http://www.ijnrd.org/papers/IJNRD2206071.pdf
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ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2206071
Registration ID: 181820
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.30691
Page No: 631-634
Country: Khammam, Telangana, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2206071
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2206071
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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