WET: Word embedding-topic distribution vectors for MOOC video lectures dataset

In this article, we present a dataset containing word embeddings and document topic distribution vectors generated from MOOCs video lecture transcripts. Transcripts of 12,032 video lectures from 200 courses were collected from Coursera learning platform. This large corpus of transcripts was used as...

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Detalles Bibliográficos
Autores principales: Kastrati, Zenun, Kurti, Arianit, Imran, Ali Shariq
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950834/
https://www.ncbi.nlm.nih.gov/pubmed/31921958
http://dx.doi.org/10.1016/j.dib.2019.105090

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950834/
https://www.ncbi.nlm.nih.gov/pubmed/31921958
http://dx.doi.org/10.1016/j.dib.2019.105090

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