Porter stemming library (C++)

Sentiment analysis model using Hugging Face's RoBERTa achieves 94% accuracy in classifying Udemy course reviews as positive, negative, or neutral

Solution for "Venmurasu Site Indexing" project of Venmurasu Programming Contest conducted by PSG College of Technology

NLP ile kötü sözcük tespiti

Python Script to detect the language.

A complete research and comparison of text mining concept using various stemming techniques(NLP). With the help of a case study (Twitter Sentiment Analysis) we have tried to analyse the output and taken the results.

NLP project to detect hate speech and offensive language in tweets

Here a predictive system has made to measure the sentiment of each review or tweet, whether it is 1 (Positive Sentiment) or 0 (Negative Sentiment). In this work, LGBM Classifier, XGBooost Classifier, CatBoost Classifier, Random Forest Classifier, Gradient Boosting Classifier, K-Nearest Neighbors, and Logistic Regression are used.

Implement and Evaluate Naive Bayes for text classification

This project is an end-to-end Fake News Detection System built using Natural Language Processing (NLP) and Machine Learning techniques in Python. It classifies news articles as either Fake or Real.

Search the world you’ve saved, anytime, anywhere. (WAR EDITION)

🌍 A Rust snowball stemmers with 30+ languages stemming algorithms for INFINI Pizza.

This repository is all about my journey of learning NLP

Explore a comprehensive analysis of Netflix's extensive collection of movies and TV shows, clustering them into distinct categories. This GitHub repository contains all the details, code, and insights into how we've organized and grouped the vast content library into meaningful clusters.

Implement and Evaluate Perceptrons for text classification

A machine learning model for predicting whether a URL is malicious or not.

The project involved natural language processing (NLP) techniques, tokenization, stemming, and the application of the TF-IDF vectorization method.