graph_model: Graph results of LDA

In mlinegar/litMagModelling: Easily Topic Analysis of the Modernist Journals Project with LDA

Description

Graph results of LDA

Usage

graph_model(df, baseColNames = c("text", "date", "id", "journal"),
  chunkLen = 10)

Arguments

df	data.frame a trained LDA model, taken from train_model
baseColNames	vector string names of the "base" columns - text, date, id, and journal
chunkLen	the number of graphs per page. If less than the number of topics, which is found automatically, splits the dataframe into n.topics/chunkLen sections, each of which has at most chunkLen plots of topic makeup over the documents

Value

n.topics graphs spread of chunkLen pages

See Also

train_model, which runs LDA on a Mallet instance

Examples

date_vec <- date_vec
dataframe <- stripped_xmlData
marsden_journals <- make_model(dataframe, 10, journalVec = c("Blast", "Egoist", "Freewoman", "NewFreewoman"))
graph_model(marsden_journals, chunkLen = 6)

mlinegar/litMagModelling documentation built on May 23, 2019, 2:12 a.m.