Deploying a Sentiment Analysis Predictive Model - Supervised Machine Learning

This worflow applies an RF model, trained on the Kaggle Dataset (https://www.kaggle.com/crowdflower/twitter-airline-sentiment), on new tweets around a particular airline to predict their sentiment. The last component visualizes: 1. the bar chart with the number of negative/positive/neutral tweets; 2. the word cloud of all collected tweets; 3. the table with all collected tweets. Selecting a word in the word cloud selects the corresponding tweets the word in contained into.