dondealban/learning-stm
Learning structural topic modeling using the stm R package.
This project helps researchers and content analysts discover underlying themes within large collections of textual data and understand how those themes relate to document-level information like publication date or author. You input text documents along with any relevant metadata, and it outputs identified topics, their relationships, and visualizations to aid in hypothesis testing. It's for anyone needing to systematically analyze qualitative text and its context.
135 stars. No commits in the last 6 months.
Use this if you need to extract topics from a large text corpus and explore how those topics are influenced by or correlated with specific characteristics of your documents.
Not ideal if you're looking for a simple keyword extraction tool or don't have document-level metadata to incorporate into your analysis.
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Sep 23, 2017
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