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    • ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
    • ADCAIJ - 2021
    • ADCAIJ, Vol.10, n.3
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    • ADCAIJ, Vol.10, n.3
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    Título
    Crime Detection Using Sentiment Analysis
    Autor(es)
    Khan, Ruba
    Siddiqui, Shadab
    Rastogi, Abhishek
    Palabras clave
    Misuse attack
    Twitter
    awareness
    Indian culture
    hash label messages
    Fecha de publicación
    2021-10-05
    Editor
    Ediciones Universidad de Salamanca (España)
    Citación
    ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 10 (2021)
    Resumen
    Women and girls have been subjected to a great deal of violence and harassment in public locations around the country, ranging from stalking to abuse harassment and assault. This research paper examines the role of social media in improving women's safety in Indian cities, with a focus on the use of social media websites and apps such as Twitter, Facebook, and Instagram. This research also looks at how ordinary Indians can develop a sense of responsibility in Indian society so that we can focus on the protection of women in their surroundings. Tweets on the safety of women in Indian cities, which often include images and text as well as written phrases and quotations, can be used to send a message to the Indian youth culture and encourage them to take harsh action and punish those who harass women. Twitter and other Twitter handles that feature hash tag messages are extensively used throughout the world as a channel for women to share their feelings about how they feel when going to work or travelling by public transportation and what is their mental condition when they are surrounded by unknown males, and do they feel safe or not?
    URI
    https://hdl.handle.net/10366/147242
    ISSN
    2255-2863
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    • ADCAIJ, Vol.10, n.3 [8]
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