acq: 50 Exemplary News Articles from the Reuters-21578 Data Set of...
In tm: Text Mining Package
Description
Usage
Format
Source
References
Examples
Description
This dataset holds 50 news articles with additional meta information from the
Reuters-21578 data set. All documents belong to the topic acq dealing
with corporate acquisitions.
Usage
1
data("acq")
Format
A VCorpus of 50 text documents.
Source
Reuters-21578 Text Categorization Collection Distribution 1.0
(XML format).
References
Emms, Martin and Luz, Saturnino (2007).
Machine Learning for Natural Language Processing.
European Summer School of Logic, Language and Information,
course reader.
http://www.homepages.ed.ac.uk/sluzfil/esslli07/mlfornlp.pdf
Lewis, David (1997) Reuters-21578 Text Categorization
Collection Distribution 1.0.
http://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html
Luz, Saturnino XML-encoded version of Reuters-21578.
http://www.homepages.ed.ac.uk/sluzfil/esslli07/data/reuters21578-xml.tar.bz2
Examples
1
2
Example output
Loading required package: NLP
<<VCorpus>>
Metadata: corpus specific: 0, document level (indexed): 0
Content: documents: 50
tm documentation built on April 7, 2021, 3:01 a.m.
R Package Documentation
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Description Usage Format Source References Examples
Description
This dataset holds 50 news articles with additional meta information from the
Reuters-21578 data set. All documents belong to the topic acq dealing
with corporate acquisitions.
Usage
1 | data("acq")
|
Format
A VCorpus of 50 text documents.
Source
Reuters-21578 Text Categorization Collection Distribution 1.0 (XML format).
References
Emms, Martin and Luz, Saturnino (2007). Machine Learning for Natural Language Processing. European Summer School of Logic, Language and Information, course reader. http://www.homepages.ed.ac.uk/sluzfil/esslli07/mlfornlp.pdf
Lewis, David (1997) Reuters-21578 Text Categorization Collection Distribution 1.0. http://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html
Luz, Saturnino XML-encoded version of Reuters-21578. http://www.homepages.ed.ac.uk/sluzfil/esslli07/data/reuters21578-xml.tar.bz2
Examples
1 2 |
Example output
Loading required package: NLP
<<VCorpus>>
Metadata: corpus specific: 0, document level (indexed): 0
Content: documents: 50
R Package Documentation
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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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