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Hassan-404

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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 platform

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Reinforcement-Learning-Tutorial

This tutorial in build by myself for revision purpose

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Identification-of-fake-news-in-urdu-text

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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 Categorization

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Poetry-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.

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Data-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 smote

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Hassan-404/Version-2-Sexism-Identification

Hassan-404

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