doug-friedman/topicdoc
Topic-Specific Diagnostics for LDA and CTM Topic Models
When analyzing large sets of documents to find common themes, it's crucial to know if your topic model is accurately identifying distinct and meaningful subjects. This tool helps you evaluate the quality of your topic models by taking the model output and the original document collection. It provides metrics and visualizations to show how well each topic is defined and separated. This is ideal for researchers, data analysts, or content strategists working with text data to uncover insights.
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Use this if you need to confidently assess and refine your topic models to ensure they reflect true, coherent themes within your text data.
Not ideal if you are looking for a tool to build topic models from scratch, as this focuses solely on diagnosing existing models.
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R
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Last pushed
Jul 17, 2022
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