Sentiment Analysis of Twitter Data

This analytic is an in initial foray into sentiment analysis. This analytic will allow a user to access the Twitter API (once they create their own developer account), ingest tweets of their interest, clean / tidy data, perform topic modeling if interested, compute sentiment scores utilizing the Bing Lexicon, and output visualizations.


Reference manual

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0.3.0 by Evan Munson, 8 days ago

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Browse source code at

Authors: Evan Munson [aut, cre] , Christopher Smith [aut] , Bradley Boehmke [aut] , Jason Freels [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports dplyr, widyr, stringr, tidytext, rtweet, tidyr, igraph, ggplot2, ggraph, scales, reshape2, lubridate, utils, stats, magrittr, ldatuning, topicmodels

Suggests testthat, knitr, rmarkdown, httr, base64enc, tibble, covr

System requirements: GSL (>=2.4), MPFR (>= 4.0.0), udunits2 (>=2.2.26-3)

See at CRAN