Document Redaction

This project revolves around the ability to recognize sensitive words within documents. To do this I am making use of Natural Language Processing (NLP) where the focus is on Named Entity Recognition which searches a body of text and classifies named entities into predefined categories.

Intent Matcher Application

Developed a hybrid model to predict intent of two questions based on generating a context-rich text feature vector by combining single words and word sequences to form a multi-dimensional word embedding structure using Word2Vec model.

Auto Text Generation

Developed an intelligent application that predicts the next n words given a sequence of words based on a Markov's N-Grams assumption.

Movies Recommender System

Developed an intelligent application that recommends user movies related to the movie selected by the them based on Cosine Similarity among the movies.