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The task is a binary classification problem to classify the given dataset into two classes namely Hate Offensive tweets (HOF) and Non-Hate Offensive tweets (NOT). The task appeared as Subtask-A in HASOC 2021. The dataset taken is sampled from Twitter. It consists of twitter posts in Hindi and Hinglish language.

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Hate-speech-Detection

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The task is a binary classification problem to classify the given dataset into two classes namely Hate Offensive tweets (HOF) and Non-Hate Offensive tweets (NOT).

Hate and Offensive (HOF) - This post contains Hate speech, profane, offensive content Non-Hate-Offensive (NOT) - This post does not contain Hate speech, profane or, offensive content.

The task appeared as Subtask-A in HASOC 2021. The dataset taken is sampled from Twitter. It consists of twitter posts in Hindi and Hinglish language .it was curated based on the Offensive Language Identification Dataset (OLID) which contained posts in the English language

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The task is a binary classification problem to classify the given dataset into two classes namely Hate Offensive tweets (HOF) and Non-Hate Offensive tweets (NOT). The task appeared as Subtask-A in HASOC 2021. The dataset taken is sampled from Twitter. It consists of twitter posts in Hindi and Hinglish language.

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