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Topic Detection

Topic Detection LDA: Summarizing Romeo & Juliet or cataloging News

The workflow shows two examples for the Topic Extrator (Parallel LDA) node.

The first workflow extracts topics from the "Romeo & Juliet" epub book using the Topic Extractor (Parallel LDA) node. It reads textual data from a table and converts them into documents. The documents are then preprocessed, i.e. tagged, filtered, lemmatized, etc. After that, the Topic Extractor node can be applied to the preprocessed documents. However, the node requires users to input the number of topics that should be extracted beforehand. After pre-processing, the Topic Extractor node can be executed and a tag cloud is created to visualize the topics' terms.

The second workflow catalogs news, performing similar steps.

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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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Kilian
Created at: 2014-10-20
On NodePit since: 2023-02-26
Last update: 2024-04-28
Created with KNIME version: v4.7.1
Tags: topic detectiontext summarizationLDAtext processingNLPNatural Language ProcessingPracticing Data Science

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