buildModel: Build a topic model
In michaelgavin/tei2r: Import and parse TEI files in R

Description Usage Arguments Value Description Examples

View source: R/buildModel.R

Run mallet over a tei2r collection.

1	buildModel(dl, tnum, train = 100, maximize = 10, listLength = 100)

`dl`	A `docList` object, representing your collection (must include a stopwords file and must have imported texts).
`tnum`	The number of topics you want `mallet` to search for.
`train`	The number of times `mallet` will iterate over your collection.
`maximize`	A few extra iterations meant to pick the best topic for each word.
`listLength`	The number of words from each topic you'd like to see displayed.

dmod The completed docModel object for viewing and simple analysis.

Trains a basic topic model using the 'mallet' package and saves the output into a single docModel object. For easy viewing, the resulting object contains a data frame of each topic's top words and each document's most prevalent topics.

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dmod = buildModel(dl = dl, tnum = 50)
View(dmod@topics) # To view a table showing the words of each topic
View(dmod@frequencies) # To view the frequency of the topics in each document