There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Version-2-Sexism-Identification
This repository contains the comparative study of sexism detection in social networks by comparing random forest and support vector machine performance on the basis of confusion matrix.Hate-and-Offensive-Expression-Identification-in-Social-Media
The scope of this R & D project is to identify malice and derogatory remarks by looking through the expressions of speech in twitter platformReinforcement-Learning-Tutorial
This tutorial in build by myself for revision purposeIdentification-of-fake-news-in-urdu-text
Sexism-Identification-in-Social-Networks-and-Sexism-Categorization
The first subtask is a binary classification. The systems must decide whether a given tweet contains sexist expressions or behaviours (i.e., it is sexist itself, describes a sexist situation or criticizes a sexist behaviour), and classify it according to two categories: YES and NO. And Sexism CategorizationData-Analysis-and-Mining
This project illustrate analysis of a dataset and some techniques of data preparation of model such as Smote technique to balance the dataset and print results with and without applying smoteLove Open Source and this site? Check out how you can help us