Repo of Kaggle Toxic Comment Classification Challenge
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Updated
Mar 5, 2018 - Python
Repo of Kaggle Toxic Comment Classification Challenge
Filter out the inappropriate comments from a large corpus of the same, without the aid of labelled examples.
在Pytorch下,采用LSTM/C-LSTM/CNN等方法,对评论进行多标签分类
Kaggle Competition: Toxic Comments Classification (Link: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge)
Kaggle challenge - Toxic comment
Kaggle: Toxic Comment Classification
Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.
A Python library to detect and score text documents for risky phrases (ie. profanity in online comments).
53rd Place Solution of the toxic comments challenge hosted on kaggle
Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations
top 1% solution to toxic comment classification challenge on Kaggle.
handle toxic and divisive content with Deep Learning. Quora wants to tackle this problem head-on to keep their platform a place where users can feel safe sharing their knowledge with the world.
This repository holds the files for a research project.
This repo contains my toxic comment classification project. Model trained and deployed as REST API and served on Google App Engine.
University of Illinois@Urbana-Champaign MCS-DS CS498 Cloud Computing Applications project
The official code to reproduce results from the NACCL2019 paper: White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Toxic content classification using Deep Learning Pytorch
Deep Learning for Toxic Comment Classification
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