sw_jockers: Matthew Jocker's Expanded Topic Modeling Stopword List
In trinker/lexicon: Lexicons for Text Analysis
Description
Usage
Format
References
Description
A dataset containing a character vector of Jocker's stopwords he used for
topic modeling. He later resorted to eliminating everything but nouns:
https://www.matthewjockers.net/2013/04/12/secret-recipe-for-topic-modeling-themes/.
Usage
1
Format
A character vector with 5,902 elements
References
https://www.matthewjockers.net/materials/uwm-2013/
trinker/lexicon documentation built on Oct. 12, 2021, 11:17 a.m.
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Description Usage Format References
Description
A dataset containing a character vector of Jocker's stopwords he used for topic modeling. He later resorted to eliminating everything but nouns: https://www.matthewjockers.net/2013/04/12/secret-recipe-for-topic-modeling-themes/.
Usage
1 |
Format
A character vector with 5,902 elements
References
https://www.matthewjockers.net/materials/uwm-2013/
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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