Twitter Sentiment Analysis

• by user1
• 05 March, 2022

Detecting hatred tweets, provided by Analytics Vidhya

Tagssocial networks, classification, email and messaging, text mining

Context

The objective of this task is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets.

Formally, given a training sample of tweets and labels, where label ‘1’ denotes the tweet is racist/sexist and label ‘0’ denotes the tweet is not racist/sexist, your objective is to predict the labels on the test dataset.

Content

Full tweet texts are provided with their labels for training data.
Mentioned users’ username is replaced with @user.

Acknowledgements

Dataset is provided by Analytics Vidhya

Size: 1937 KB Price: Free Author: Ali Toosi Data source: kaggle.com