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Cross-perspective Topic Modeling
An application that uses cross-perspective topic modeling to extract topics and opinions from text and provides insight into how they change over time.
10
mentions
3
contributors
Description
- Experiment with different settings
- Generate iPython notebooks to visualize results
- Downloading and preprocessing of the Dutch parliamentary proceedings
cptm is an implementation of cross-perspective topic modeling, which is is a topic modeling method that simultaneously extract topics and opinions from text. Topics are learned from nouns and opinions from adjectives. To use this tool, you need a corpus that is divided into perspectives. In the DiLiPaD project a perspective refers to a political party. We used this tool to extract topics and opinions from parliamentary proceedings.
License
Participating organisations
Reference papers
Mentions
- 1.Author(s): Gerard Chung, Maria Rodriguez, Paul Lanier, Daniel GibbsPublished in Journal of Technology in Human Services by Informa UK Limited in 2022, page: 296-31810.1080/15228835.2022.2036301
- 2.Author(s): Gavin Abercrombie, Riza Batista-NavarroPublished in Journal of Computational Social Science by Springer Science and Business Media LLC in 2020, page: 245-27010.1007/s42001-019-00060-w
- 3.Author(s): Y.L.J.A. RemmitsPublished in 2017
- 1.Published in 2017
- 2.Published in 2016
- 3.Published in 2015
- 4.Published in 2015
- 5.Published in 2015
Contributors
Contact person
Janneke van der Zwaan
Netherlands eScience Center
LB
Lars Buitinck
Netherlands eScience Center
Related projects
DiLiPaD
A new approach to the history of parliamentary communication and discourse
Updated 30 months ago
Finished