Women Safety and Alertness in Instagram using Deep Learning

S. Nissi, K. G. Saravanan, C. Srivenkateswaran, Nishathini, D.C. JullieJosephine, S. Shibia Malar
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引用次数: 0

Abstract

This research investigates the social media concern about social judgement. Therefore, immediate utilization to enhance women safety. Unique references are widely distributed in social networking sites and apps like Facebook, Twitter, and Instagram. Instagram typically offers opportunities in a range of fields by using images and videos to educate users. Instagram manages the hash tag messages that are extensively viewed and serves as a forum for women to express their emotions and thoughts. The quotes focusing on the protection of women may be used to read a message from the youth culture and therefore strict measures can be initialized to outlaw the messaging priority using deep learning and actions can be taken against those who abuse women. Instagram and other Instagram handles that post messages with hash tags are useful to establish a global communication. This research study utilized deep learning model to investigate the security and privacy of women social media users.
在Instagram上使用深度学习的女性安全和警觉性
本研究调查了社交媒体对社会判断的关注。因此,立即利用,提高妇女安全。独特的引用广泛分布在社交网站和应用程序中,如Facebook、Twitter和Instagram。Instagram通常通过使用图片和视频来教育用户,提供一系列领域的机会。Instagram管理着被广泛浏览的标签信息,并作为女性表达情感和想法的论坛。关注保护妇女的引言可以用来解读来自青年文化的信息,因此可以初始化严格的措施,使用深度学习来取缔信息优先级,并可以对那些虐待妇女的人采取行动。Instagram和其他发布带有散列标签的消息的Instagram处理程序对于建立全球通信很有用。本研究利用深度学习模型对女性社交媒体用户的安全和隐私进行了调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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