AI-driven automation with “human in the loop” in KNIME

This workflow shows a first demo that illustrates how to seamlessly integrate the "human in the loop" concept into KNIME’s low-code, visual workflows using AI to generate Attention-related code.

This example is built on the workflow shown in Figure 3 of the story published at https://medium.com/low-code-for-advanced-data-science/experiments-with-attention-in-knime-enhancing-recurrent-neural-networks-rnns-42580f913ee2 on the KNIME Community Journal, "Low Code for Data Science"

Please find a thorough description of this solution on the KNIME Community Journal, "Low Code for Data Science" (see link below)

In order to run the example, please make sure you have the following KNIME extensions installed:

* KNIME Deep Learning - Keras Integration (Labs)

* KNME AI

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.

	Sentiment_Analysis_with_Attention_via_AI_and_Human_Collaboration_1
	Sentiment_Analysis_with_Attention_via_AI_and_Human_Collaboration_2
	Sentiment_Analysis_with_Deep_Learning_KNIME_nodes_attention_1
	Sentiment_Analysis_with_Deep_Learning_KNIME_nodes_attention_2_with_errors

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