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Twitmo  

Twitter Topic Modeling and Visualization for R
View on CRAN: Click here


Download and install Twitmo package within the R console
Install from CRAN:
install.packages("Twitmo")

Install from Github:
library("remotes")
install_github("cran/Twitmo")

Install by package version:
library("remotes")
install_version("Twitmo", "0.1.2")



Attach the package and use:
library("Twitmo")
Maintained by
Andreas Buchmueller
[Scholar Profile | Author Map]
First Published: 2021-10-28
Latest Update: 2021-12-06
Description:
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'.
How to cite:
Andreas Buchmueller (2021). Twitmo: Twitter Topic Modeling and Visualization for R. R package version 0.1.2, https://cran.r-project.org/web/packages/Twitmo. Accessed 28 Feb. 2025.
Previous versions and publish date:
0.1.1 (2021-10-28 21:00)
Other packages that cited Twitmo R package
View Twitmo citation profile
Other R packages that Twitmo depends, imports, suggests or enhances
Complete documentation for Twitmo
Functions, R codes and Examples using the Twitmo R package
Some associated functions: cluster_tweets . filter_tweets . find_lda . find_stm . fit_ctm . fit_lda . fit_stm . get_tweets . lda_distribution . lda_hashtags . lda_terms . load_tweets . pipe . plot_hashtag . plot_tweets . pool_tweets . predict_lda . to_ldavis . 
Some associated R codes: filter_tweets.R . fit_lda.R . fit_stm.R . get_tweets.R . parse_tweets.R . plots.R . pool_tweets.R . to_ldavis.R . utils-pipe.R .  Full Twitmo package functions and examples
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