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:


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.


See linron84/JST.


Reference manual

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1.3 by Max Boiten, 2 months ago

Browse source code at

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, testthat

Linking to Rcpp, RcppArmadillo, RcppProgress

See at CRAN