texts: Texts for text mining and Machine Learning (data)
In poldham/kenlitr: Scientific Literature on Kenya
Description
Usage
Format
Details
Description
A dataset that combines the title and abstracts from the lens dataset for text mining and ML.
Usage
1
data("texts")
Format
idcharacter
textscharacter
Details
The titles and abstracts are divided into separate files and then
joined. A unique id is constructed from the paperid and row number
separated by "_". The result is a data frame compliant with the emerging
TIF format favoured by quanteda, spacyr etc. paperids can be reconstructed for joins at a later stage using tidyr::separate().
For use with spacy in Python use e.g. jsonlite::stream_out(texts, file("flights.jsonl")).
poldham/kenlitr documentation built on Nov. 5, 2019, 12:59 a.m.
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Description Usage Format Details
Description
A dataset that combines the title and abstracts from the lens dataset for text mining and ML.
Usage
1 | data("texts")
|
Format
idcharacter
textscharacter
Details
The titles and abstracts are divided into separate files and then joined. A unique id is constructed from the paperid and row number separated by "_". The result is a data frame compliant with the emerging TIF format favoured by quanteda, spacyr etc. paperids can be reconstructed for joins at a later stage using tidyr::separate(). For use with spacy in Python use e.g. jsonlite::stream_out(texts, file("flights.jsonl")).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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