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
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