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Description
ArticlePubMed 4

10.1016/s0899-9007(00)00421-4 38 LarssonA.EngelJ

Since topics may be intrinsically distinguished by other embedded features from the model (e.g., linguistic style, tone) rather than meaningful content, we cluster the cumulative term-frequency inverse-document frequency (c-TF-IDF) representation of these topics using Spectral Clustering to find overarching themes of discussion (groups)

Aim for the sweet spot
