CRAN/E | Twitmo

Twitmo

Twitter Topic Modeling and Visualization for R

Installation

About

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'.

github.com/abuchmueller/Twitmo
Bug report File report

Key Metrics

Version 0.1.2
R ≥ 3.5.0
Published 2021-12-06 873 days ago
Needs compilation? no
License MIT
License File
CRAN checks Twitmo results

Downloads

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Last 30 days 392 +121%
Last 90 days 740 +4%
Last 365 days 2.491 -13%

Maintainer

Maintainer

Andreas Buchmueller

a.buchmueller@stud.uni-goettingen.de

Authors

Andreas Buchmueller

aut / cre

(github.com/abuchmueller)

Gillian Kant

aut / ths

Christoph Weisser

aut / ths

Benjamin Saefken

aut / ths

Thomas Kneib

rev / ths

dgs
Krisztina Kis-Katos

rev

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Twitmo archive

Depends

R ≥ 3.5.0

Imports

jsonlite
stats
plyr
stopwords
stringr
dplyr
readr
magrittr
rtweet
quanteda
quanteda.textstats
topicmodels
stm
tidyr
rlang
maps
LDAvis
leaflet
ldatuning
stringi
tm

Suggests

rmarkdown
knitr
tidytext
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