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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 CategorizationPoetry-Generation
The ultimate goal of the project is to create a system that can generate high-quality Urdu poetry that is indistinguishable from human-written poetry. The project has applications in creative writing, natural language generation, and automated content creation.Love Open Source and this site? Check out how you can help us