Identify and classify toxic online comments · Jigsaw/Conversation AI

November 11, 2021 - Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more · OK, Got it. Julián Peller (dataista0) · Updated 5 years ago · arrow_drop_up289 · codeCode · file_downloadDownload · more_vert · Data from Toxic Comment Classification Challenge ·

June 18, 2024 - Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources

November 23, 2025 - Multilingual Toxic Comment Dataset for NLP & Social Media Moderation

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In this competition, you’re challenged to build a multi-headed model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate better than Perspective’s current models. You’ll be using a dataset of comments from Wikipedia’s talk page edits.

Use TPUs to identify toxicity comments across multiple languages

Build a model that is capable of identifying different types of toxicity in online comments

The competition could be found here: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge · As a group of students with great interests in Natural Language Processing, as well as making online discussion more productive and respectful, we determined to work on this project and aim to build a model that is capable of detecting different types of toxicity like threats, obsenity, insults, and identity-based hate.

April 4, 2025 - Classify comments based on whether they are toxic or not.

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This repo contains the code that I wrote for Kaggle NLP challenge - Toxic Comment Classification · In this competition, you’re challenged to build a multi-headed model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate better than Perspective’s current models.

The dataset used in this project is the Toxic Comment Classification Challenge from Kaggle. The dataset contains approximately 159,000 comments from Wikipedia talk pages that have been labeled by human annotators as toxic or non-toxic.

Jigsaw Comment Toxicity Classification Kaggle Competition · Repository: Repository: Paper: Paper: Leaderboard: Leaderboard: Point of Contact: Point of Contact: Total file size: 13.3 kB · Text Classification • Updated Nov 8, 2024 • 130k • • 75 · Updated Feb 19, 2025 • 53.7k • 3 ·

The aim is to determine if a comment is toxic or not, in the context of online discourse, particularly in relation to demographics.

May 6, 2018 - Welcome to the Toxic Comment Detection competition for HSE-Lingvo students

April 6, 2018 - This is a solution overview to the toxic comment classification challenge on kaggle. The topic is to build a multi-headed model that is capable of detecting different types of of toxicity like threats, obscenity, insult.

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I performed a detailed analysis of Wikipedia comments and built a model that classifies them as toxic or nontoxic. The final model is a support vector machine that uses a Naive Bayes feature weight transformer to improve performance. The data was obtained from Kaggle.

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