Detection of Sexually Harassing Tweets in Hindi Using Deep Learning Methods

Tarun Jain, Rishabh Jain, Shivaji Ray Chaudhuri, Shreyes Upadhyay, Arjun Singh, V. Verma, Aditya Sinha
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Abstract

In the modern era, social networking platforms play a vital role in day-to-day life. It is used by personalities, bureaucrats, and common people alike. It provides a platform for everyone to express their opinions, share their experiences with their family, friends, and the world. The advent of such platforms has completely changed the outlook of the world. Sexual harassment has been a problem for a long time, but with the advancement in technology, some users have taken the harassment to the digital level. It is common these days to find users posting derogatory remarks, uploading sensual and private content of others in order to sexually harass them. This is not all. Some targeted audience might even take some wrong steps. This article presents a way to detect such derogatory and harassing remarks using Twitter as a database. The classification part is done with the help of two deep learning models, and at the end, the performance of both models is evaluated on various parameters.
用深度学习方法检测印度语的性骚扰推文
在现代社会,社交网络平台在日常生活中扮演着至关重要的角色。名人、官僚和普通人都在使用它。它为每个人提供了一个平台,让他们表达自己的观点,与家人、朋友和世界分享他们的经历。这些平台的出现彻底改变了人们对世界的看法。性骚扰长期以来一直是一个问题,但随着科技的进步,一些用户已经把性骚扰带到数字层面。最近,为了对他人进行性骚扰,在网上发表贬损言论、上传他人的色情和隐私内容的现象非常普遍。这还不是全部。一些目标受众甚至可能采取一些错误的步骤。本文介绍了一种使用Twitter作为数据库来检测此类贬损和骚扰言论的方法。分类部分是借助两个深度学习模型完成的,最后,对两个模型在不同参数下的性能进行了评估。
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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