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Hate speech detection from code-mixed Hindi-English tweets using deep learning models. This project reports an increment to the state-of-the-art in hate speech detection for English-Hindi code-mixed tweets. The models result in an improvement of about 12% in F-score over a past work that used statistical classifiers.

hate hatespeech tweets cnn-keras lstm-keras bilstm nlp tweepy classification embeddings-word2vec

hate-speech-detection's Introduction

Hate-Speech-Detection

Hate speech detection from code-mixed Hindi-English tweets using deep learning models. This project reports an increment to the state-of-the-art in hate speech detection for English-Hindi code-mixed tweets. The models result in an improvement of about 12% in F-score over a past work that used statistical classifiers. Details of the project will be soon explaied here.

Domain Specific Word Embeddings

The trained embeddings are available in the form of a pickle file above.

If you use these embeddings, please ensure that you add the following citation:

Satyajit Kamble, Aditya Joshi, `Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models', International Conference on Natural Language Processing 2018, Patiala, India, December 2018.

hate-speech-detection's People

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Forkers

r-goomer aishwarya-nr strategist922 rsb3060 ashutosh-b-b shivanggarg1998 codethatbreak aqhali

hate-speech-detection's Issues

This repository is over its data quota

Hi @satyaSK Firstly, great work!! Unfortunately I am unable to clone this repository due to git-lfs data limitations. Can you provide another alternative link from where I can download the embeddings? Perhaps Google Drive? Thanks in advance!

Retrieving pickle file

Hi, running git lfs fetch gives an error -

fetch: Fetching reference refs/heads/master
batch response: This repository is over its data quota. Account responsible for LFS bandwidth should purchase more data packs to restore access.

Open source of corpus

Hello,
First of all, thank you very much for open sourcing the code-mixed word embeddings.
Could you also open source the corpus that you used to train the word embeddings.

Thank you

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