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saotd
View on CRAN: Click
here
Download and install saotd package within the R console
Install from CRAN:
install.packages("saotd")
Install from Github:
library("remotes")
install_github("cran/saotd")
Install by package version:
library("remotes")
install_version("saotd", "0.3.1")
Attach the package and use:
library("saotd")
Maintained by
Evan Munson
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-04
Latest Update: 2023-09-04
Description:
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.
How to cite:
Evan Munson (2019). saotd: Sentiment Analysis of Twitter Data. R package version 0.3.1, https://cran.r-project.org/web/packages/saotd. Accessed 31 Jan. 2025.
Other packages that cited saotd R package
View saotd citation profile
Other R packages that saotd depends,
imports, suggests or enhances
Complete documentation for saotd
Functions, R codes and Examples using
the saotd R package
Some associated functions: bigram . bigram_network . merge_terms . number_topics . posneg_words . raw_tweets . reexports . saotd . trigram . tweet_acquire . tweet_box . tweet_corpus_distribution . tweet_distribution . tweet_max_scores . tweet_min_scores . tweet_scores . tweet_tidy . tweet_time . tweet_topics . tweet_violin . unigram . word_corr . word_corr_network .
Some associated R codes: SAoTD.R . bigram.R . bigram_network.R . data.R . merge_terms.R . number_topics.R . posneg_words.R . trigram.R . tweet_acquire.R . tweet_box.R . tweet_corpus_distribution.R . tweet_distribution.R . tweet_max_scores.R . tweet_min_scores.R . tweet_scores.R . tweet_tidy.R . tweet_time.R . tweet_topics.R . tweet_violin.R . unigram.R . utils.R . word_corr.R . word_corr_network.R . Full saotd package functions and examples
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