Emil the TeacherBot

This workflow deploys a teacher bot. That is: - it displays a textbox for the user to ask a question - it parses the text in the question to extract keywords - it queries a machine learning model to predict the question class - it asks the user to select one among the three most probably classes - it then retrieves the top resources links to tutorials) available on the KNIME web site for that category. - it ends with a Goodbye page Classes "Bug", "Legal", "Announcement", or "Something else", forward the question to a KNIME expert.

AL Labelling

This workflow aims to provide a graphical interface for the Web portal. The workflow first reads the questions that the users asked on the TA-System to which the it was not able to give the correct answer. Then it allows a KNIMEr to label the questions with one of the resurces available on the KNIME website. This workflow is part of a number of other workflows that address a data mining scenario at the intersection of active learning, text mining, stream mining and service-oriented knowledge discovery architectures.

AL Re-label Uncertain Classes

This workflow is part of a number of other workflows that address a data mining scenario at the intersection of active learning, text mining, stream mining and service-oriented knowledge discovery architectures.
This workflow, in particular, provides a graphical interface on the Webportal for a KNIME specialist to re-label the question with the most uncertain predicted classes.

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