This workflow demonstrates the LDA part of the topic modeling process for Anil Özer's Master's Thesis. It employs the ABC News Headlines Dataset and presents a comprehensive approach including preprocessing, LDA application, and visualization.
To ensure the randomness of topics and keywords presented in the human evaluation of the topics, the workflow further incorporates randomization nodes that mix and shuffle their order.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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