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Retraction: Application of LDA and word2vec to detect English off-topic composition

Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016702/
https://www.ncbi.nlm.nih.gov/pubmed/36920977
http://dx.doi.org/10.1371/journal.pone.0283315
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spelling pubmed-100167022023-03-16 Retraction: Application of LDA and word2vec to detect English off-topic composition PLoS One Retraction Public Library of Science 2023-03-15 /pmc/articles/PMC10016702/ /pubmed/36920977 http://dx.doi.org/10.1371/journal.pone.0283315 Text en © 2023 The PLOS ONE Editors https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Retraction
Retraction: Application of LDA and word2vec to detect English off-topic composition
title Retraction: Application of LDA and word2vec to detect English off-topic composition
title_full Retraction: Application of LDA and word2vec to detect English off-topic composition
title_fullStr Retraction: Application of LDA and word2vec to detect English off-topic composition
title_full_unstemmed Retraction: Application of LDA and word2vec to detect English off-topic composition
title_short Retraction: Application of LDA and word2vec to detect English off-topic composition
title_sort retraction: application of lda and word2vec to detect english off-topic composition
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016702/
https://www.ncbi.nlm.nih.gov/pubmed/36920977
http://dx.doi.org/10.1371/journal.pone.0283315
work_keys_str_mv AT retractionapplicationofldaandword2vectodetectenglishofftopiccomposition