Sentiment Analysis (with Conda Environment propagation for Keras)

adapted from: Sentiment Analysis on IMDB movie reviews (by kathrinmelcher)
https://kni.me/w/NHJpmqsAJ3Ib-thH

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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:
https://github.com/keras-team/keras/blob/master/examples/imdb_lstm.py

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 https://www.knime.com/deeplearning#keras for installation recommendations and further information.

External resources

• more links about KNIME, Python, Miniconda .....
• (38581) forum discussion
• Bug Reporting Best Practices
• KNIME Announces Integration With Anaconda, Strengthening OSS Security Between the Python and Low-Code Communities
• Keras Conda Environment Propagation
• adapted from: Sentiment Analysis on IMDB movie reviews (by kathrinmelcher)