A simple Python script for transforming a corpus of documents into text vectors suitable for visualization

📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.

Naive Bayes classifier with text parser and vectorization libs

The project has text vectorization, handling big data with merging and cleaning the text and getting the required columns while boosting the performance by feature extraction and parameter tuning for NN, compares the Performances through applied different models treating the problem as classification and regression both.

Word Factor Vectors

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

Sentiment Analysis

Discussion about Probabilities, Classification and Zipf's law

Performing sentiment analysis on movie reviews using RNN (LSTM) in keras

Clustering text using text vectorization

Evaluation of the accuracy of vectorization and text classification methods

Tag prediction on Stack Overflow using TensorFlow Keras and Text Vectorization

Comment Sentiment Analysis using Deep Learning

demistifying nlp with a series of nlp implementation notebooks.

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

Homeworks and final project for Infosearch course

Given a document, identifying the closest documents within the list of documents using tf-idf matrix and cosine similarity

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 a Recommendation based project. Similar movies will be recommended based upon the content of the movie. I have used ML algorithm & BOW technique of NLP for our model. An interactive web page is also designed using streamlit library for next level user experience.

Data science and NLP tools developed for my own use.