A Python toolbox for gaining geometric insights into high-dimensional data
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Updated
Mar 19, 2024 - Python
A Python toolbox for gaining geometric insights into high-dimensional data
📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.
Given a document, identifying the closest documents within the list of documents using tf-idf matrix and cosine similarity
Comment Sentiment Analysis using Deep Learning
This program is a project carried out in the Natural Language Processing course, which is a Taylor Swift song recommender. It utilizes topics such as sentiment analysis in texts, text vectorization, and the removal of stopwords.
A simple Python script for transforming a corpus of documents into text vectors suitable for visualization
Homeworks and final project for Infosearch course
Naive Bayes classifier with text parser and vectorization libs
Machine Learning course of Piero Savastano 3: CountVectorizer
Data science and NLP tools developed for my own use.
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