Sentiment Analysis

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. This example is adapted from the following Keras example script: In order to run the example, please make sure you have the following KNIME extensions installed: * KNIME Deep Learning - Keras Integration (Labs) You also need a local Python installation that includes Keras. Please refer to for installation recommendations and further information.

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