This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used network learns a 128 dimensional word embedding followed by an LSTM.
EXAMPLES Server: 04_Analytics/14_Deep_Learning/02_Keras/07_Sentiment_Analysis_with_Deep_Learning04_Analytics/14_Deep_Learning/02_Keras/07_Sentiment_Analysis_with_Deep_Learning*
Download a zip-archive
* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually