This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.

Plagiarism Checker is a Python program that compares two text files to detect potential plagiarism.

In this project we implements a spam detection system using machine learning. It preprocesses SMS data, performs exploratory analysis, and trains various classifiers, including ensemble methods, to classify messages as spam or ham, ultimately saving the model for future use.

Sentiment-Based Analysis on Movie Reviews is a natural language processing (NLP) technique used to automatically identify and extract subjective information from user-generated movie reviews. The primary goal is to determine the overall sentiment expressed in the reviews—typically classified as positive, negative, or neutral—to gauge public opinion