Intra-text coherence as a measure of topic models' interpretability

Name: Intra-text coherence as a measure of topic models' interpretability

Journal: Komp'juternaja Lingvistika i Intellektual'nye Tehnologiithis link is disabled

Authors: Vasiliy Alekseev, Victor Bulatov, Konstantin Vorontsov

Abstract: The article is devoted to the problem of how to automatically measure the interpretability of topic models. Some new, intra-text, approaches to estimate the interpretability of the topics are proposed. Computational experiments are conducted with the use of text files from “PostNauka”, which is a collection of popular science content.

Link: Intra-text coherence as a measure of topic models' interpretability