Text Classification of Legitimate and Rogue Online Privacy Policies: A manual analysis and an experimental procedure

Syracuse University, Masters of Applied Data Science - IST 736 Text Mining

Evaluation of the accuracy of vectorization and text classification methods

Using text-vectorization and similarity-based-matrix computation

IMDB movie review classification using neural network (text-vectorization v/s word-embeddings)

Homeworks and final project for Infosearch course

In this notebook we analyze and classify news articles using machine learning techniques, including Logistic Regression, Naive Bayes, Support Vector Machines, and Random Forests. Explore text vectorization and NLP for accurate news categorization.

A content based movie recommender system.

Predictive Text Analysis project! This repository contains code for predicting answers to science exam questions using advanced natural language processing techniques. Check out the code and results!

A diploma project focused on vectorizing scientific texts using the Top2Vec algorithm, with the aim of analyzing thematic groups, identifying trends, and visualizing the dynamics of interest in various topics in the field of computer science.

Clustering text using text vectorization

demistifying nlp with a series of nlp implementation notebooks.

This is a Content-based Movie Recommendation App wherein the user can type in a particular movie that he/she has enjoyed and can get the names and posters of top 5 similar movies.

Tag prediction on Stack Overflow using TensorFlow Keras and Text Vectorization

A DL project that helps in classifying Toxic Comment weather it is positive or not.

Naive Bayes classifier with text parser and vectorization libs

A dynamic Movie Recommender web app using ML text vectorization technique to suggest the user with similar kind of movies and their posters.

This project is an unsupervised NLP-based recipe recommender system designed to provide personalized recipe suggestions. The system employs content-based filtering techniques, utilizing cosine similarity to measure the resemblance between user inputs and a database of recipes.

Machine Learning course of Piero Savastano 3: CountVectorizer

Discussion about Probabilities, Classification and Zipf's law