Construct · 1 fields · 1 citations
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In natural language processing, structural topic model refers to a topic model that lets document metadata such as author traits or date shape topic prevalence and topic content, built for social science text. This meaning comes from Roberts (2014) in American Journal of Political Science.[1]
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