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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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| I publikationen: | Data Brief |
|---|---|
| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Elsevier
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6950834/ https://ncbi.nlm.nih.gov/pubmed/31921958 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dib.2019.105090 |
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