Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.

Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.

Some videos have more impact than the others resulting in higher memorability scores for such videos. Using various ML algorithms, such memorability scores are predicted.

Basic Text Classification Codes

A majority of customers rely on the review of the product on the websites which helps in forming an opinion about the product. Thus, positive or negative reviews have direct influence on the product and this makes online reviews an integral part of the business. This, unfortunately also gives strong incentives for opinion spamming and thus detec…

Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset: https://arxiv.org/abs/1705.00648.

Bank Reviews-Complaints Analysis

Analyzing online Job Postings

my exercises of course natural language processing datacamp

Text-Mining: Klassifikation von Metadaten-Dokumenten zu INSPIRE-Themen

Tokenizing text in the CiteSeer document corpus and determining the word frequencies for all the words in the collection

Natural Language Processing Recipes

Spam Classifier project for my end-of-semester project for Intro to AI class. We were a group of four people. I worked on all the Naive Bayes models.

Using NLP and text mining techniques(TF-IDF) to analyse and rate Yelp review data

Using Multinomial Naive Bayes Classifier to classify SMS messages as SPAM or HAM. Techniques used include Count Vectorizer and Text mining using TF-IDF.

A Google Chrome Extension that estimates the Reliability, Polarity and Subjectivity of any news article on the web. It allows you to like/dislike any article and recommends you articles based on your choices.

MediaEval challenge 2019 - to predict the memorability of the Videos

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Movie Recommendation - provides user with the top choices of movie he/she wanted to watch based on their current choice