Package: Twitmo 0.1.5

Andreas Buchmueller

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'.

Authors:Andreas Buchmueller [aut, cre], Gillian Kant [aut, ths], Christoph Weisser [aut, ths], Benjamin Saefken [aut, ths], Thomas Kneib [rev, ths, dgs], Krisztina Kis-Katos [rev, ths]

Twitmo_0.1.5.tar.gz

Twitmo_0.1.5.tar.gz(r-4.4-noble)
Twitmo_0.1.5.tgz(r-4.4-emscripten)Twitmo_0.1.5.tgz(r-4.3-emscripten)
Twitmo.pdf |Twitmo.html✨
Twitmo/json (API)
NEWS

# Install 'Twitmo' in R:

install.packages('Twitmo', repos = c('https://abuchmueller.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/abuchmueller/twitmo/issues

On CRAN:

ctm geospatial lda nlp stm topic-modeling twitter twitter-api

4.69 score 20 stars 49 scripts 181 downloads 18 exports 121 dependencies

Last updated 3 years agofrom:024ce192e7. Checks:1 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 05 2025

Exports:%>%cluster_tweets filter_tweets find_lda find_stm fit_ctm fit_lda fit_stm get_tweets lda_distribution lda_hashtags lda_terms load_tweets plot_hashtag plot_tweets pool_tweets predict_lda to_ldavis

Dependencies:askpass base64enc BH bit bit64 bslib cachem cli clipr codetools colorspace cpp11 crayon crosstalk curl data.table digest dplyr evaluate fansi farver fastmap fastmatch fontawesome foreach fs generics ggplot2 glmnet glue gmp gtable highr hms htmltools htmlwidgets httr httr2 isoband ISOcodes iterators jquerylib jsonlite knitr labeling lattice lazyeval lda ldatuning LDAvis leaflet leaflet.providers lifecycle magrittr maps MASS Matrix matrixStats memoise mgcv mime modeltools munsell nlme NLP nsyllable openssl pillar pkgconfig plyr png prettyunits progress proxy proxyC purrr quadprog quanteda quanteda.textstats R6 rappdirs raster RColorBrewer Rcpp RcppArmadillo RcppEigen readr reshape2 RJSONIO rlang rmarkdown Rmpfr rtweet sass scales shape slam SnowballC sp stm stopwords stringi stringr survival sys terra tibble tidyr tidyselect tinytex tm topicmodels tzdb utf8 vctrs viridisLite vroom withr xfun xml2 yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Cluster tweets on an interactive map	cluster_tweets
Filter tweets	filter_tweets
Find best LDA model	find_lda
Find best STM/CTM	find_stm
Fit CTM (Correlated topic model)	fit_ctm
Fit LDA Topic Model	fit_lda
Fit STM (Structural topic model)	fit_stm
Sample tweets by streaming or searching	get_tweets
View distribution of fitted LDA Models	lda_distribution
View Documents (hashtags) heavily associated with topics	lda_hashtags
View Terms heavily associated with each topic	lda_terms
Converts Twitter stream data (JSON file) into parsed data frame	load_tweets
Plot tweets containing certain hashtag	plot_hashtag
Plot tweets on a static map	plot_tweets
Prepare Tweets for topic modeling by pooling	pool_tweets
Predict topics of tweets using fitted LDA model	predict_lda
Create interactive visualization with LDAvis	to_ldavis