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This work basically focuses on the role of social media in promoting the safety of women in Indian cities with special reference to the role of social media websites and applications including Twitter platform Facebook and Instagram. This work also focuses on how a sense of responsibility on part of Indian society can be developed the common Indian people so that they should focus on the safety of women surrounding them. Tweets on Twitter which usually contains images and text and also written messages and quotes which focus on the safety of women in Indian cities can be used to read a message amongst the Indian Youth Culture and educate people to take strict action and punish those who harass the women. 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Alvarez Alons. “Understanding# World Environment Day user opinions in Twitter: A topic-based sentiment analysis approach”. International Figure 7: Prediction results from test tweet. Figure 8: Sentiment graph performance measurement. DOI:https://doi.org/10.46243/jst.2023.v8.i12.pp195-207118 C. Gazala Akhtari, B. Vyhnavi, D. Deekshitha, Syed Sufiya Rana: Advancement in NLP with Decision Tree: The Impact of social media on Enhancing Women’s Safety in Indian Cities journal of environmental research and public health. 2018 Nov;15(11):2537" }, { "path": "references.8.doi", "from": null, "to": "10.1109/aicai.2019.8701247" }, { "path": "references.8.key", "from": null, "to": "ref9" }, { "path": "references.8.unstructured", "from": null, "to": "D. Kumar and S. 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There have been several studies that have been conducted in cities across India and women report similar type of sexual harassment and passing off comments by other unknown people. The study that was conducted across most popular Metropolitan cities of India including Delhi, Mumbai, and Pune, it was shown that 60 % of the women feel unsafe while going out to work or while travelling in public transport. This work basically focuses on the role of social media in promoting the safety of women in Indian cities with special reference to the role of social media websites and applications including Twitter platform Facebook and Instagram. This work also focuses on how a sense of responsibility on part of Indian society can be developed the common Indian people so that they should focus on the safety of women surrounding them. Tweets on Twitter which usually contains images and text and also written messages and quotes which focus on the safety of women in Indian cities can be used to read a message amongst the Indian Youth Culture and educate people to take strict action and punish those who harass the women. Twitter and other Twitter handles which include hash tag messages that are widely spread across the whole globe sir as a platform for women to express their views about how they feel while they go out for work or travel in a public transport and what is the state of their mind when they are surrounded by unknown men and whether these women feel safe or not?", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2023-12-12", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.3115/1220355.1220476", "unstructured": "Gamon and Michael. “Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis”, Proceedings of the 20th international conference on Computational Linguistics. Association for Computational Linguistics, 2004" }, { "key": "ref2", "doi": "10.3115/1609067.1609069", "unstructured": "Agarwal, Apoorv, Fadi Biadsy, and Kathleen R. 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International Figure 7: Prediction results from test tweet. Figure 8: Sentiment graph performance measurement. DOI:https://doi.org/10.46243/jst.2023.v8.i12.pp195-207118 C. Gazala Akhtari, B. Vyhnavi, D. Deekshitha, Syed Sufiya Rana: Advancement in NLP with Decision Tree: The Impact of social media on Enhancing Women’s Safety in Indian Cities journal of environmental research and public health. 2018 Nov;15(11):2537" }, { "key": "ref9", "doi": "10.1109/aicai.2019.8701247", "unstructured": "D. Kumar and S. Aggarwal. “Analysis of Women Safety in Indian Cities Using Machine Learning on Tweets”, 2019 Amity International Conference on Artificial Intelligence (AICAI), 2019, pp. 159- 162, doi: 10.1109/AICAI.2019.8701247" }, { "key": "ref10", "unstructured": "Vikram Chandra and Rampur Srinath. “Analysis of Women Safety using Machine Learning on Tweets”, (IRJET) 2020" }, { "key": "ref11", "unstructured": "F. Bravo-Marquez, B. Pfahringer, S. Mohammad and E. Frank, “Affective Tweets: a Weka Package for Analysing effect in Tweets”, Journal of Machine Learning Research, vol. 20, no. 92, pp. 1-6, 2020" }, { "key": "ref12", "doi": "10.1109/3ict51146.2020.9311990", "unstructured": "K. Abdul Sattar, Q. Obeidat and M. Akure. “Towards harnessing based learning algorithms for tweets sentiment analysis international conference of innovation and intelligence for informatics Computing and technology 2020”" }, { "key": "ref13", "doi": "10.1007/978-981-15-5397-4_51", "unstructured": "K. R. Teja, K. A. Kumar, G. S. Praveen and D. N. Harini. “Analysis of Crimes Against Women in India Using Machine Learning Techniques”, In Communication Software and Networks 2021 (pp. 499-510). Springer, Singapore" }, { "key": "ref14", "doi": "10.1007/978-3-030-90119-6_9", "unstructured": "Srinivasan, S., P. Muthu Kannan, and R. 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IEEE, 2022" }, { "key": "ref20", "doi": "10.2174/1573404817666210215161108", "unstructured": "Islam, Md M., et al. “Risk factors identification and prediction of anemia among women in Bangladesh using machine learning techniques.” Current Women’s Health Reviews 18.1 (2022): 118-133" } ], "record": { "registrant": "Longman Publishers", "registered": "2024-02-16", "updated": "2026-09-17", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "url_after": "https://www.jst.org.in/index.php/pub/article/view/894", "sha256_before": null, "sha256_after": "9a698ca495464f3a7c15c0937e328c643ce91f349dd85b39ceea7e1076ba8bec" }, { "seq": 2, "kind": "update", "at": "2026-09-29 23:59:47", "by": "Administrator (admin)", "by_kind": "user", "note": "record re-read from api.crossref.org", "changes": [ { "path": "agents.0.name.family", "from": " C. Gazala Akhtari", "to": "C. Gazala Akhtari" }, { "path": "agents.0.name.given", "from": " C. Gazala Akhtari", "to": "C. 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Gazala Akhtari" }, "sequence": "first" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2023-12-12", "date_type": "PublicationDate", "online": "2023-12-12" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "8", "issue": "12", "pages": { "first": "195", "last": "207" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/894", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/894/821", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/894/1667", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://jst.org.in/admin/uploads/2%20Women_safety%20doc.pdf", "purpose": "similarity-checking" } ], "abstract": { "value": "Women and girls have been experiencing a lot of violence and harassment in public places in various cities starting from stalking and leading to sexual harassment or sexual assault. There have been several studies that have been conducted in cities across India and women report similar type of sexual harassment and passing off comments by other unknown people. The study that was conducted across most popular Metropolitan cities of India including Delhi, Mumbai, and Pune, it was shown that 60 % of the women feel unsafe while going out to work or while travelling in public transport. This work basically focuses on the role of social media in promoting the safety of women in Indian cities with special reference to the role of social media websites and applications including Twitter platform Facebook and Instagram. This work also focuses on how a sense of responsibility on part of Indian society can be developed the common Indian people so that they should focus on the safety of women surrounding them. Tweets on Twitter which usually contains images and text and also written messages and quotes which focus on the safety of women in Indian cities can be used to read a message amongst the Indian Youth Culture and educate people to take strict action and punish those who harass the women. Twitter and other Twitter handles which include hash tag messages that are widely spread across the whole globe sir as a platform for women to express their views about how they feel while they go out for work or travel in a public transport and what is the state of their mind when they are surrounded by unknown men and whether these women feel safe or not?", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2023-12-12", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.3115/1220355.1220476", "unstructured": "Gamon and Michael. “Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis”, Proceedings of the 20th international conference on Computational Linguistics. Association for Computational Linguistics, 2004" }, { "key": "ref2", "doi": "10.3115/1609067.1609069", "unstructured": "Agarwal, Apoorv, Fadi Biadsy, and Kathleen R. 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