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Found 2 papers, 1 papers with code
Topic Scaling: A Joint Document Scaling -- Topic Model Approach To Learn Time-Specific Topics
This paper proposes a new methodology to study sequential corpora by implementing a two-stage algorithm that learns time-based topics with respect to a scale of document positions and introduces the concept of Topic Scaling which ranks learned topics within the same document scale.
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