Hot Topic Collecting, Searching and Forecasting for Twitter

In this, I have implemented a form of Joakim Nivre’s “arc-eager transition-based dependency parser”.

In this, I have created, trained and evaluated a WSD system using the SENSEVAL corpus based on the vector space model (VSM).

NLTK libraries and Machine Learning Algorithms in use.

Stock Market Analysis (5th Inter-IIT Tech Meet), IIT Mandi

Defining the author of the text using Machine learning and NLP.

Introduction to Natural Language Processing - Master in Artificial Intelligence - UPC

Threat Detection System using Hybrid (Machine Learning + Lexical Analysis) learning Approach.

A Text Summerization web app made on Flask framework

Visualizing word similarities in Adventures of Huckleberry Finn using TSNE

Statistical Analysis of text corpus using python NLTK

Sarcastic sentence detector. Trained by sarcastic tweets.

Sentiment Analysis in Python trained with Amazon Spain reviews in Spanish

A query answering system built leveraging NLP technologies to be used in Robots that we develop or as standalone product.

sentiment analysis is done using python language and its libraries

The app is an 'English to English Dictionary' that uses 'wordnet' database. It's powered by Python(flask).

This app allows people in catastrophic situations to call for help and receive information about volunteers near them through SMS. Implemented using: python mongodb twitter-api mapsapi twilio-api

Identifying duplicate question pairs on Quora dataset using xgboost.