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  • Challenge 18 - Categorizing Notes - Solution
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Challenge 18 - Categorizing Notes - Solution

Justknimeit Justknimeit-18 Text-processing
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A common problem in mechanical and medical data is associating notes with a category. In this challenge, you will automate the process of sorting mechanical notes into their correct category. Here’s an example: INPUT --List of Categories-- 1. Scratch 2. Crack 3. Defect --Notes-- 1. The product was defective. 2. A crack was caused by client. 3. Many scratches noted. OUTPUT Note Category 1. The product was defective. Defect 2. A crack was caused by client. Crack 3. Many scratches noted. Scratch Don't worry about using fancy machine learning or natural language processing models. This problem can be handled reasonably well using a total of 5 nodes (simple solution), and a more refined solution involves just 8 nodes (complex solution). Also don't worry about getting 100% accuracy.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.2 Note: Not all extensions may be displayed.
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

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    KNIME Excel Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.2

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