JSTOR_MALLET_topicinfo

the object returned by the function JSTOR_unpack.

the topic number to get information about (starts at 1)

proportion of topic required for a document to be considered exemplary of that topic

threshold


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/).


Simple exploratory text mining and document clustering of journal
articles from JSTOR's Data for Research service. Go to
\url{http://dfr.jstor.org/}, make a request for data (specify CSV as outout
format and Word Counts as data type), then once you get a zip file, unzip
it and start with one of the unpack functions and then you're ready to go
with any of the other functions. For more details on installation and
usage, see \url{https://github.com/benmarwick/JSTORr/}

JSTOR_MALLET_topicinfo: Get information about a topic generated by MALLET

Description

Usage

Arguments

Value

Examples