sentopics provides function to easily estimate a range of topic models and process their output. Particularly, it facilitates the integration of topic analysis with a time dimension through time-series generating functions. In addition, sentopics interacts with sentiment analysis to compute the sentiment conveyed by topics. Finally, the package implements a number of visualization helping interpreting the results of topic models.
Please refer to the vignettes for a comprehensive introduction to the package functions.
Basic usage: Introduction to topic model estimation with sentopics
Topical time series: Integrate topic analysis with sentiment analysis along a time dimension
For further details, you may browse the package documentation.
Maintainer: Olivier Delmarcelle delmarcelle.olivier@gmail.com (ORCID)
Other contributors:
Samuel Borms samuel.borms@unine.ch (ORCID) [contributor]
Chengua Lin chenghua.lin@abdn.ac.uk (Original JST implementation) [copyright holder]
Yulan He yulan.he@warwick.ac.uk (Original JST implementation) [copyright holder]
Jose Bernardo (Original JST implementation) [copyright holder]
David Robinson admiral.david@gmail.com (Implementation of reorder_within()) [copyright holder]
Julia Silge julia.silge@gmail.com (ORCID) (Implementation of reorder_within()) [copyright holder]
Useful links: