Deploying Sentiment Predictor - Deep Learning Based

<p>Deploying a Sentiment Analysis Predictive Model - Deep Learning Approach with an RNN</p><p>This workflow applies an RNN, trained on a Kaggle Dataset, on unlabeled social media posts to predict their sentiment. The last component visualizes (1) a bar chart with the number of negative/positive/neutral posts, (2) a word cloud of randomly selected posts, and (3) a table with all collected posts.<br><br><strong>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.</strong></p><p><br>If you use this workflow, please cite: