sentopics-package: Tools for joining sentiment and topic analysis (sentopics)

In sentopics: Tools for Joint Sentiment and Topic Analysis of Textual Data

Tools for joining sentiment and topic analysis (sentopics)

Description

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.

Usage

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.

Note

Please cite the package in publications. Use citation("sentopics").

Author(s)

Maintainer: Olivier Delmarcelle [e-mail] (ORCID)

Other contributors:

• Samuel Borms [e-mail] (ORCID) [contributor]

• Chengua Lin [e-mail] (Original JST implementation) [copyright holder]

• Yulan He [e-mail] (Original JST implementation) [copyright holder]

• Jose Bernardo (Original JST implementation) [copyright holder]

• David Robinson [e-mail] (Implementation of reorder_within()) [copyright holder]

• Julia Silge [e-mail] (ORCID) (Implementation of reorder_within()) [copyright holder]

See Also

Useful links:

• https://github.com/odelmarcelle/sentopics

• Report bugs at https://github.com/odelmarcelle/sentopics/issues

sentopics documentation built on May 31, 2023, 8:26 p.m.