Porter stemming library (C++)
Solution for "Venmurasu Site Indexing" project of Venmurasu Programming Contest conducted by PSG College of Technology
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.
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.
Implement and Evaluate Perceptrons for text classification
Implement and Evaluate Naive Bayes for text classification
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.
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