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Publikováno v:
European Journal of Operational Research. 299:653-673
Topic modeling is a significant branch of natural language processing and machine learning focused on inferring the generative process of text. Traditionally, algorithms for estimating topic models have relied on Bayesian inference and Gibbs sampling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c180abeda9dd7a01013593db353a0c1
https://doi.org/10.1016/j.ejor.2021.11.024
https://doi.org/10.1016/j.ejor.2021.11.024
