Twitter Hate speech detection using machine learning | Machine Learning Project 9

This machine learning project video will walk you through creating a hate speech detection model using machine learning and natural language processing (sentiment analysis).

In this video, we are going to analyze Twitter data to identify hate speech and create a machine learning model based on the data. The dataset used to create the hate speech detection model is available on Kaggle and you can find the link to the dataset attached below. The dataset contains labels indicating of the tweets are hate speech or not. Label 1 indicates hate speech and label 0 indicates non-hate speech tweets.

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Roshan Cyriac Mathew

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WordCloud video:
https://youtu.be/4N_exdTyGHk

Pandas tutorial Series:
https://youtube.com/playlist?list=PLNohRKRAHasxkemkSQLUJTWN-BKZyHDk5

Visualisation Playlist:
https://youtube.com/playlist?list=PLNohRKRAHaszmL_1hQqNSLmE42Mku1jbV

Link to the dataset on Kaggle:
https://www.kaggle.com/datasets/arkhoshghalb/twitter-sentiment-analysis-hatred-speech?select=train.csv

NLP Playlist:
https://youtube.com/playlist?list=PLNohRKRAHasytkcrGHhAdTj1hH2gSDwnG

GitHub Link for project code:
https://github.com/roshancyriacmathew/hate-speech-detection-using-machine-learning

Check out more of my machine learning projects at:
https://youtube.com/playlist?list=PLNohRKRAHaszuDbT6oSNhD91kpqI18G7d

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