Hi guys! In this post, I want to share my project to create a Binary Text Classifier for Tweets using a DeepLearning technique with Tensorflow . The aim of this work is to classify tweets related to the USA elections 2020 to predict if a given tweet is in favor of Trump or Biden. Important: this project has a GitHub repository and you can download the Jupyter Notebook used as well as the preprocessed datasets and the trained models . Important (II): I have also made a web application to use the trained model with Flask and it is available in this GitHub repository . Follow the instructions of the README file to use it. Important (III): all the imports are in the GitHub repository . This post doesn't pretend to be a complete tutorial of Tensorflow , but it explains in detail the purpose of each function to fully understand the project and how the model has been designed. WEB APPLICATION VIDEO TABLE OF CONTENTS Get data for training the model. Preprocessing. P...