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Topics extraction_​elbow method2

Data Access and Document Creation Elbow Method Preprocessing Transformation Extract Topics and create the tag cloud This workflow shows how to extract topics from text documents using the topic extractor node, and how to determine an optimal number of topics using the elbow method Eliminating columnscreate documents from string textRead stringsdata from reviews siteRemoving blank text rowsRemoving noiseremoving unverified Create bit vectors for documentsReduce thedims of feature space20 iterations k:1-20KNode 24Node 28Node 31Node 32Node 770 Column Filter Strings To Document Excel Reader Row Filter Row Filter Row Filter Preprocessing Document Vector PCA Counting Loop Start Java Edit Variable k-Means Calculate sumerof squared error Loop End Find elbow Scatter Plot Topic Extractor(Parallel LDA) Term Count Tag Clouds Variable to TableColumn (deprecated) Dictionary Tagger Data Access and Document Creation Elbow Method Preprocessing Transformation Extract Topics and create the tag cloud This workflow shows how to extract topics from text documents using the topic extractor node, and how to determine an optimal number of topics using the elbow method Eliminating columnscreate documents from string textRead stringsdata from reviews siteRemoving blank text rowsRemoving noiseremoving unverified Create bit vectors for documentsReduce thedims of feature space20 iterations k:1-20KNode 24Node 28Node 31Node 32Node 770Column Filter Strings To Document Excel Reader Row Filter Row Filter Row Filter Preprocessing Document Vector PCA Counting Loop Start Java Edit Variable k-Means Calculate sumerof squared error Loop End Find elbow Scatter Plot Topic Extractor(Parallel LDA) Term Count Tag Clouds Variable to TableColumn (deprecated) Dictionary Tagger

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Created by: abdul
Created at: 2021-01-11
On NodePit since: 2022-02-06
Last update: 2024-11-24
Created with KNIME version: v4.3.0

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