Mar 30, 2022 · The aim of our work is to state a new methodology for the selection of hyperparameters which is specifically oriented to optimize the similarity metrics ...
In order to do this, we propose two graph metrics: the first measures the variability of the similarity graphs that result from different runs of the algorithm ...
Sep 1, 2022 · In order to do this, we propose two graph metrics: the first measures the variability of the similarity graphs that result from different runs ...
Mar 30, 2022 · In order to do this, we propose two graph metrics: the first measures the variability of the similarity graphs that result from different runs ...
Manuel A Vázquez, Jorge Pereira-Delgado, J Cid-Sueiro, Jerónimo Arenas-García: Validation of scientific topic models using graph analysis and corpus metadata.
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By linking the corpus metadata with the discovered topics, we feature them with a number of topic-based analytic indices to explore their significance, ...
Oct 22, 2024 · Validation of scientific topic models using graph analysis and corpus metadata. Article. Full-text available. Mar 2022. Manuel A. Vázquez ...
Topic modeling is part of a class of text analysis methods that analyze “bags” or groups of words together—instead of counting them individually–in order to ...
Jul 25, 2024 · The authors argue that validation based on human reading hinges on distinctive words and readers' labeling of a topic, and it overlooks the probability of ...
Corpus visualization tools can provide a high-level view of the data and help di- rect subsequent exploration. Broadly speaking, such systems can be divided ...