融合机器学习模型识别性骚扰案件

2021 International Conference on Computing Sciences (ICCS) Pub Date : 2021-12-01 DOI:10.1109/ICCS54944.2021.00058

Vishu Madaan, Subrath Das, Prateek Agrawal, C. Gupta, Dhruv Goel

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引用次数: 0

摘要

随着性骚扰案件的增加，有必要对受害者的个人故事做出快速反应。这项研究工作正在取代人工分类对网络共享性骚扰案件的自动分析。为了训练一个模型，机器学习技术被用于安全可用的数据。它是一个平台，使个人、社区、警察和市政府能够创造更安全的公共和私人空间。

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Fusion of ML models to Identify Sexual Harassment Cases

With the increase in number of sexual harassment cases, there is a need to give quick response to any personal story of a victim. This research work is replacing the manual categorization to automatic analysis of online shared sexual harassment cases. To train a model, machine learning techniques are used on the data available on Safecity. It is a platform that empowers individuals, communities, police and city government to create safer public and private spaces.

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2021 International Conference on Computing Sciences (ICCS)

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