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
Introduction to Natural Language Processing using NLTK, University of Jordan course.
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.
An IR stemming project
A PHP implementation of the English (Porter 2) Stemmer [added Protected words support]
This jupyter notebook has various ML classification models to detected a mail as spam or not
Movie Recommendation using Content Filtering (Cosine Similarity) with Flask web application
Natural Language Processing Lab Experiments
Classify an email as a ham or a spam.
A python wrapper around surgebase's porter2 implementation.
This is the application which will recommend the movies to the users based on the saerch
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.
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