Porter stemming library (C++)

Finding similarities between documents, and document search engine query language implementation

Data consists of tweets scrapped using Twitter API. Objective is sentiment labelling using a lexicon approach, performing text pre-processing (such as language detection, tokenisation, normalisation, vectorisation), building pipelines for text classification models for sentiment analysis, followed by explainability of the final classifier

This is a Movie Recommendation Project which recommend the related movie based on your watch history, it uses the Cosine-Similarity concept along with the NLP techniques to recommend the next related movie.

Introduction to Natural Language Processing using NLTK, University of Jordan course.

Natural Language Processing Lab Experiments

An IR stemming project

Movie Recommendation using Content Filtering (Cosine Similarity) with Flask web application

This jupyter notebook has various ML classification models to detected a mail as spam or not

A PHP implementation of the English (Porter 2) Stemmer [added Protected words support]

Python codes for information retrieval

This is the application which will recommend the movies to the users based on the saerch

A python wrapper around surgebase's porter2 implementation.

Classify an email as a ham or a spam.

Perform sentiment analysis on the Large Movie Review Dataset using various machine learning algorithms and evaluate their performance.

An NLP Exploration in Video Game Analytics for Decoding Retail Sentiments

This is a project for the course "Text Mining and Search" - Master's degree in Data Science, University Milano-Bicocca

Search Engine Project

🔍 Search engine for tweets.