Joint Sentiment Topic Modelling

Estimates the Joint Sentiment Topic model and its reversed variety, as described by Lin and He, 2009 and Lin, He, Everson and Ruger (2012) .


Implementation of Joint Sentiment Topic Modelling (Lin and He) for R.

How to use

Install using:

library(devtools)
install_github('maxboiten/rJST')

Contains functions for lda, sentencelda, jst, reverse jst and asum. They can be called with as primary argument a dfm object as provided by Quanteda. The dictionary arguments accepts quanteda dictionary objects. See quanteda documentation for more info.

References

See linron84/JST.

News

Reference manual

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install.packages("rJST")

1.0 by Max Boiten, 10 months ago


Browse source code at https://github.com/cran/rJST


Authors: Max Boiten [cre, aut] , Chenghua Lin [cph] , Yulan He [cph]


Documentation:   PDF Manual  


GPL-3 license


Imports magrittr, quanteda, reshape2, Rcpp, RcppProgress, SnowballC

Depends on methods

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo, RcppProgress


See at CRAN