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Topic Modeling

This directory contains 9 workflows.

Icon00_​Topic_​Modeling_​with_​Verified_​Components 

In this workflow you can see how these 4 components can be adopted in combination with the Topic Extractor (Parallel LDA) node. Right click on the Topic […]

Icon01_​Structural_​Topic_​Model_​(STM)_​Example 

This example shows how to adopt the verified components Topic Extractor (STM) and the Topic Assigner (STM). The main difference with using the Topic […]

Icon02_​Topic_​Scoring_​Example 

The Topic Scorer (Labs) verified component implements an experimental score for semantic coherence, exclusivity and similarity/distance of topics of one […]

Icon03_​Topic_​Explorer_​Example 

The output of a topic model can be hard to navigate when you have many topics. The Topic Explorer View verified component automatically generates for you a […]

Icon04_​Topic_​Modeling_​LDA_​K_​Optimization 

The Topic Scorer (Labs) verified component implements an experimental score for semantic coherence, exclusivity and similarity/distance of topics of one […]

Icon05_​Topic_​Modeling_​STM_​K_​Optimization 

The Topic Extractor (STM) verified component implements a score for semantic coherence, exclusivity and other scores. In the settings of the component an […]

Icon06_​Topic_​Modeling_​LDA_​Data_​App 

Once the Topic Explorer View is configured, it can be deployed as a data app on KNIME Business Hub or KNIME Server. Try on your web browser a demo at: […]

Icon07_​Topic_​Modeling_​STM_​Data_​App 

Once the Topic Explorer View is configured, it can be deployed as a data app on KNIME Business Hub or KNIME Server. Try on your web browser a demo at: […]

Icon08_​Topic Labeling via a Large Language Model (LLM) via Prompt Engineering (Experimental) 

A Large Language Model such as GPT-3.5 Turbo can perform simple tasks if well instructed. In this instance we provide 10 possible labels and we require the […]