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Hinglish Hate Speech Detection

Abstract

Social networks cannot control all the content that users post. For this reason, there is a demand for automatic detection of hate speech. This demand particularly rises when the content is written in complex languages i.e. Hinglish. It is a blend of English and Hindi. its challenges, complexity and scarcity of its resources also affects the accuracy of hate speech models. /br Using the Natural Language Processing System(NLP), made a machine learning model based android application that aims to detect and classify comments and posts that are made on the internet to solve the problem mentioned above, including posts from the Indian audience.

Note: This repository contain machine learning code with file name written as "HinglishHateSpeechPythonNotebook.ipynb."

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