/hatEval

Primary LanguageJupyter Notebook

hatEval

Group 24

Aim:

The aim of this project is two-fold:

  • We initially classify hateful tweets from a corpus where hate speech against women or immigrants has been identified, as aggressive or not aggressive.
  • Additionally, we classify these hateful tweets to identify if the target being harassed is a generic group of people or a specific individual.

How to run the code:

  1. Clone the repository
  2. Open jupyter notebook in the cloned directory
  3. Open the corresponding notebooks
  4. Click Run All

Link to the website