rJST-package: rJST: Joint Sentiment Topic modelling for R
In rJST: Joint Sentiment Topic Modelling
Description
rJST performs Joint Sentiment Topic modelling and includes a
reversed model (for info on the latter, email me) and several
methods to evaluate the results and make them more accessible.
All models take quanteda dfm objects as inputs. Furthermore,
all models have a defined tidy method. See broom for more
information.
Author(s)
Maintainer: Max Boiten max_boiten@live.nl
Other contributors:
Chenghua Lin [copyright holder]
Yulan He [copyright holder]
rJST documentation built on Feb. 13, 2020, 5:08 p.m.
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Description
rJST performs Joint Sentiment Topic modelling and includes a reversed model (for info on the latter, email me) and several methods to evaluate the results and make them more accessible. All models take quanteda dfm objects as inputs. Furthermore, all models have a defined tidy method. See broom for more information.
Author(s)
Maintainer: Max Boiten max_boiten@live.nl
Other contributors:
Chenghua Lin [copyright holder]
Yulan He [copyright holder]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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