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Twitmo: Twitter Topic Modeling and Visualization for R
Tailored for topic modeling with tweets and fit for visualization tasks in R. Collect, pre-process and analyze the contents of tweets using LDA and structural topic models (STM). Comes with visualizing capabilities like tweet and hashtag maps and built-in support for 'LDAvis'.
Getting started
Browse package contents
Package details |
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| Author | Andreas Buchmueller [aut, cre] (github.com/abuchmueller), Gillian Kant [aut, ths] (<https://orcid.org/0000-0003-2346-2841>), Christoph Weisser [aut, ths] (<https://orcid.org/0000-0003-0616-1027>), Benjamin Saefken [aut, ths] (<https://orcid.org/0000-0003-4702-3333>), Thomas Kneib [rev, ths, dgs] (<https://orcid.org/0000-0003-3390-0972>), Krisztina Kis-Katos [rev] (<https://orcid.org/0000-0003-2459-1274>) |
| Maintainer | Andreas Buchmueller <a.buchmueller@stud.uni-goettingen.de> |
| License | MIT + file LICENSE |
| Version | 0.1.2 |
| URL | https://github.com/abuchmueller/Twitmo |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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