JSTOR_MALLET_topicinfo: Get information about a topic generated by MALLET
In benmarwick/JSTORr: Simple Text Mining and Document Clustering of JSTOR Journal Articles
Description
Usage
Arguments
Value
Examples
Description
Gets keywords, DOIs, alpha values and exemplary articles for a topic. Originally written by Andrew Goldstone. For use with JSTOR's Data for Research datasets (http://dfr.jstor.org/).
Usage
1
JSTOR_MALLET_topicinfo(x, n, threshold = 0.3)
Arguments
x
the object returned by the function JSTOR_unpack.
n
the topic number to get information about (starts at 1)
threshold
proportion of topic required for a document to be considered exemplary of that topic
Value
Returns a list that includes top words, alpha value, and top articles for the selected topic
Examples
1
## info <- JSTOR_MALLET_topicinfo(x = unpack, n = 1)
benmarwick/JSTORr documentation built on May 12, 2019, 12:59 p.m.
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Description Usage Arguments Value Examples
Description
Gets keywords, DOIs, alpha values and exemplary articles for a topic. Originally written by Andrew Goldstone. For use with JSTOR's Data for Research datasets (http://dfr.jstor.org/).
Usage
1 | JSTOR_MALLET_topicinfo(x, n, threshold = 0.3)
|
Arguments
x |
the object returned by the function JSTOR_unpack. |
n |
the topic number to get information about (starts at 1) |
threshold |
proportion of topic required for a document to be considered exemplary of that topic |
Value
Returns a list that includes top words, alpha value, and top articles for the selected topic
Examples
1 | ## info <- JSTOR_MALLET_topicinfo(x = unpack, n = 1)
|
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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