基于情感分析的犯罪侦查

IF 1.7 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
R. Khan, Shadab Siddiqui, Abhishek Rastogi
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引用次数: 1

摘要

在全国各地的公共场所,妇女和女孩遭受了大量的暴力和骚扰,从跟踪到虐待、骚扰和袭击。本研究报告探讨了社交媒体在改善印度城市女性安全方面的作用,重点关注社交媒体网站和应用程序(如Twitter、Facebook和Instagram)的使用。这项研究还着眼于普通印度人如何在印度社会中培养一种责任感,这样我们就可以把重点放在保护周围妇女上。关于印度城市女性安全的推文通常包括图片、文字以及书面短语和引文,可以用来向印度青年文化传递信息,鼓励他们采取严厉行动,惩罚那些骚扰女性的人。推特和其他推特平台上的标签信息在世界各地被广泛使用,作为女性分享她们在上班或乘坐公共交通工具时的感受的渠道,当她们被不认识的男性包围时,她们的心理状况如何,以及她们是否感到安全?
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crime Detection Using Sentiment Analysis
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?
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
22
审稿时长
4 weeks
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