A Python toolbox for gaining geometric insights into high-dimensional data
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Updated
Jul 10, 2025 - 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
A simple Python script for transforming a corpus of documents into text vectors suitable for visualization
Machine Learning & Natural Language Processing: Predict the author of literary text snippets. Built with TensorFlow and Keras, this project trains an LSTM model on classic literature to identify writing style and authorship.
Homeworks and final project for Infosearch course
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.
The project finds the emotion in the given text. It takes input in a text/sentence format through the User or through Twitter API.
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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