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08 Topic Detection

Exercise: Topic DetectionIn this exercise you'll use the LDA algorithm for topic detection in a document corpus. 1) Execute the Preprocessed Documents metanode. It preprocesses the agenda texts of five instructor-led courses. 2) Perform topic detection on the document corpus. Select 5 topics and 5 words per topic.3) Color the keywords in the middle output of the Topic Extractor (Parallel LDA) node by their topic ID4) Show the keywords in a word cloud, each topic with a different color. Use the weight of each word as the size column. 5) Given the following courses, how would you match them to the topics?- L4-BD Introduction to Big Data with KNIME Analytics Platform knime, summary, spark, extension, database- L4-DL Introduction to Deep Learningknime, learning, deep, networks, applications, - L4-CH Introduction to Working with Chemical Dataknime, chemistry, clustering, substructure, maximum, filtering- L4-ML Introduction to Machine Learning Algorithmsknime, regression, algorithms, tree, models, logistic- L4-TS Introduction to Time Series Analysisknime, time, series, analysis, models PreprocessedDocuments Topic Extractor(Parallel LDA) Color Manager Tag Cloud Exercise: Topic DetectionIn this exercise you'll use the LDA algorithm for topic detection in a document corpus. 1) Execute the Preprocessed Documents metanode. It preprocesses the agenda texts of five instructor-led courses. 2) Perform topic detection on the document corpus. Select 5 topics and 5 words per topic.3) Color the keywords in the middle output of the Topic Extractor (Parallel LDA) node by their topic ID4) Show the keywords in a word cloud, each topic with a different color. Use the weight of each word as the size column. 5) Given the following courses, how would you match them to the topics?- L4-BD Introduction to Big Data with KNIME Analytics Platform knime, summary, spark, extension, database- L4-DL Introduction to Deep Learningknime, learning, deep, networks, applications, - L4-CH Introduction to Working with Chemical Dataknime, chemistry, clustering, substructure, maximum, filtering- L4-ML Introduction to Machine Learning Algorithmsknime, regression, algorithms, tree, models, logistic- L4-TS Introduction to Time Series Analysisknime, time, series, analysis, models PreprocessedDocuments Topic Extractor(Parallel LDA) Color Manager Tag Cloud

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Created by: Lada.Rudnitckaia
Created at: 2020-07-31
On NodePit since: 2021-07-21
Last update: 2024-12-17
Created with KNIME version: v4.4.0

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