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Challenge 5 - Offensive Language and the LGBTQIA+ Community (JKISeason3-5)

Sourcehttps://hub.arcgis.com/datasets/esri::world-countries-generalized/explore?location=-0.131012%2C0.000000%2C0.85 Challenge: Comparability / Visualization of AnswersExample: How to color code "Fairly widespread" vs. "Fairly rare". Which isconsidered positive (green) or negative (red)?ApproachHarmonize various answers to a unified ranking from wost (-5) to mostpositive (+5) based on the context using ChatGPT to speed upclassification.Additions1. Classify answer and quesion type (negative, neutral, postive)2. Calculate impact weightage: Answer Rating * Percentage Data set IssuesPercentage often exceeds 100 by asignificatn margin! Node 1Node 46QuestionClassificationHarmonizeAnswer RatingsNode 255Node 256Node 258Node 259 CSV Reader Clean Data GeoFile Reader Table Creator Table Creator Value Lookup Joiner Split question_code GroupBy Sorter Visualize Sourcehttps://hub.arcgis.com/datasets/esri::world-countries-generalized/explore?location=-0.131012%2C0.000000%2C0.85 Challenge: Comparability / Visualization of AnswersExample: How to color code "Fairly widespread" vs. "Fairly rare". Which isconsidered positive (green) or negative (red)?ApproachHarmonize various answers to a unified ranking from wost (-5) to mostpositive (+5) based on the context using ChatGPT to speed upclassification.Additions1. Classify answer and quesion type (negative, neutral, postive)2. Calculate impact weightage: Answer Rating * Percentage Data set IssuesPercentage often exceeds 100 by asignificatn margin! Node 1Node 46QuestionClassificationHarmonizeAnswer RatingsNode 255Node 256Node 258Node 259 CSV Reader Clean Data GeoFile Reader Table Creator Table Creator Value Lookup Joiner Split question_code GroupBy Sorter Visualize

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Created by: Mike Wiegand
Created at: 2024-06-12
On NodePit since: 2024-06-19
Last update: 2024-09-16
Created with KNIME version: v5.2.5
Tags: JKISeason3-5

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