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'.
- Version0.1.2
- R version≥ 3.5.0
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release12/06/2021
Documentation
Team
Andreas Buchmueller
Thomas Kneib
Show author detailsRolesReviewer, Thesis advisor, dgsGillian Kant
Christoph Weisser
Benjamin Saefken
Krisztina Kis-Katos
Insights
Last 30 days
This package has been downloaded 150 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,380 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Apr 02, 2024 with 206 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports20 packages
- Suggests5 packages