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25_​Topic_​Detection_​LDA

Topic Detection LDA: Summarizing Romeo & Juliet or cataloging News
The first workflow extracts topics from Romeo & Juliet using the Topic Extractor (Parallel LDA) node. The second workflow shows how the Topic Extractor node can be used for cataloging news. epub bookRomeo & JulietList ofcharacters+ image URLcreate documentsand remove charactersExtract topics fromdocumentsPOS tagging, lemmatization, stop word, number, ... filteringtext clean up& standardizationExtract topics fromdocumentsword cloud oftopics extractedfrom the tragedy"Romeo & Juliet"topic keywordsin a word cloudRead news docsfrom table Tika Parser Table Creator Tag Characters Topic Extractor(Parallel LDA) Preprocessing Color Manager Pre-processing Topic Extractor(Parallel LDA) Tag Cloud Tag Cloud Color Manager Table Reader The first workflow extracts topics from Romeo & Juliet using the Topic Extractor (Parallel LDA) node. The second workflow shows how the Topic Extractor node can be used for cataloging news. epub bookRomeo & JulietList ofcharacters+ image URLcreate documentsand remove charactersExtract topics fromdocumentsPOS tagging, lemmatization, stop word, number, ... filteringtext clean up& standardizationExtract topics fromdocumentsword cloud oftopics extractedfrom the tragedy"Romeo & Juliet"topic keywordsin a word cloudRead news docsfrom tableTika Parser Table Creator Tag Characters Topic Extractor(Parallel LDA) Preprocessing Color Manager Pre-processing Topic Extractor(Parallel LDA) Tag Cloud Tag Cloud Color Manager Table Reader

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Created by: Kilian
Created at: 2014-10-20
On NodePit since: 2019-07-12
Last update: 2024-04-23
Created with KNIME version: v4.5.0
Tags: topic detectiontext summarizationLDAtext processingNLPNatural Language ProcessingPracticing Data Science

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