Introduction to Natural Language Processing: Text Classification on tweets
This repository contains a compilation of notebooks introducing some relevants topics and concepts to get started in Natural Language Processing.
This concepts are applyed to a text classification task from a Kaggle compettion. It is only for demo purposes we are not tring to builds a fine tuned classifier that beats others competitors This is a Kaggle Competition
Problem description
Twitter has become an important communication channel in times of emergency.
The ubiquitousness of smartphones enables people to announce an emergency they’re observing in real-time. Because of this, more agencies are interested in programatically monitoring Twitter (i.e. disaster relief organizations and news agencies). In this competition, you’re challenged to build a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t. You’ll have access to a dataset of 10,000 tweets that were hand classified. If this is your first time working on an NLP problem, we've created a quick tutorial to get you up and running.