Icon

08 Topic Detection

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 five classifiers of the Microsoft RSS feeds. 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?- cybersecurity topic_0- visual studio topic_1- growth topic_2- other topic_3- expectations topic_4 5 topics &5 wordsby topicNode 44 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 five classifiers of the Microsoft RSS feeds. 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?- cybersecurity topic_0- visual studio topic_1- growth topic_2- other topic_3- expectations topic_4 5 topics &5 wordsby topicNode 44PreprocessedDocuments Topic Extractor(Parallel LDA) Color Manager Tag Cloud

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: Lada.Rudnitckaia
Created at: 2020-07-31
On NodePit since: 2022-03-29
Last update: 2024-04-27
Created with KNIME version: v4.5.2
Tags: NLPText miningText processingNatural Language Processingldatopic detection

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!