Deploying Sentiment Predictor - Deep Learning

<p><strong>Deploying a Sentiment Analysis Predictor - Deep Learning using an RNN-LSTM</strong><br><br>This workflow applies an RNN-LSTMs, trained on the Kaggle Dataset (https://www.kaggle.com/crowdflower/twitter-airline-sentiment), on a new set of unlabeled tweets around different airlines to predict customers' 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, and (3) the table with all collected tweets.<br><br>This workflow is tailored for Windows. If you run it on another system, you may have to adapt the environment of the Conda Environment Propagation node.<br><br>If you use this workflow, please cite: