JSTOR_MALLET_hotncoldtopics: Plot the top five hot and cold topics in the archive

In benmarwick/JSTORr: Simple Text Mining and Document Clustering of JSTOR Journal Articles

Description

Generates plots and data frames of the top five hot and cold topics. Hot topics are topics with a positive correlation to year of publication, cold topics have a negative correlation. For use with JSTOR's Data for Research datasets (http://dfr.jstor.org/).

Usage

JSTOR_MALLET_hotncoldtopics(x, pval = 0.05, ma = 5)

Arguments

x	the object returned by the function JSTOR_unpack1grams (for the bibliographic data only).
pval	p-value of the correlation cutoff for topics to include in the top 5 negative/positive list (ie. only topics where p<0.01 or 0.001?). Default is 0.05.
ma	ma moving average interval, default is five years.

Value

Returns a plot of the hot topics and plot of the cold topics and a list of dataframes of the topic proportions per year. Years as rows, topics as columns and posterior probabilities as cell values.

Examples

## hotncold <- JSTOR_MALLET_hotncoldtopics(x = unpack1grams)

benmarwick/JSTORr documentation built on May 12, 2019, 12:59 p.m.