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Challenge 18 - Categorizing Notes

Challenge 18 - Categorizing Notes
Description: 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. ScratchDon'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. READ DATA & PREPROCESS DATA INFER CATEGORY FOR EACH FINDING/DESCRIPTION Challenge 18: Categorizing Notes ReadCategoriesReadNotesSplit eachdescription by SpaceToLowercaseToLowercaseLoop byCategoryCollectResultsGroup dupl. rowsAdd PossibleFindingsMax Scoreby RowAssingCategoryLoop by each description wordExcel Reader Excel Reader Cell Splitter String Manipulation String Manipulation Group Loop Start Loop End GroupBy Cross Joiner GroupBy Joiner CalculateScore Matrix Description: 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. ScratchDon'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. READ DATA & PREPROCESS DATA INFER CATEGORY FOR EACH FINDING/DESCRIPTION Challenge 18: Categorizing Notes ReadCategoriesReadNotesSplit eachdescription by SpaceToLowercaseToLowercaseLoop byCategoryCollectResultsGroup dupl. rowsAdd PossibleFindingsMax Scoreby RowAssingCategoryLoop by each description wordExcel Reader Excel Reader Cell Splitter String Manipulation String Manipulation Group Loop Start Loop End GroupBy Cross Joiner GroupBy Joiner CalculateScore Matrix

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Created by: USER
Created at: 2022-05-25
On NodePit since: 2022-06-02
Last update: 2024-04-26
Created with KNIME version: v4.5.0
Tags: #justknimeit#justknimeit-18

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