R for Twitter

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dc.contributor.authorGniady, Tassie
dc.date.accessioned2018-03-19T17:28:59Z
dc.date.available2018-03-19T17:28:59Z
dc.date.issued2018-02-23
dc.description.abstractThis session will focus on using the twittR package for R to scrape tweets. Then we will create a wordcloud of most commonly used terms and a sentiment graph mining opinions of the tweets.
dc.identifier.citationGniady, Tassie. "R forTwitter." 23 Feb 2018. Digital Tools & Visualization Methods for Humanists Series. Scholars' Commons, Wells Library, Indiana University, Bloomington. Retrieved from: http://hdl.handle.net/2022/21942.
dc.identifier.urihttps://hdl.handle.net/2022/21942
dc.language.isoen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectDigital Tools & Visualization Methods for Humanists Series
dc.subjectDigital Humanities
dc.subjectcyberDH
dc.subjectR
dc.subjectScholars' Commons
dc.titleR for Twitter
dc.typePresentation

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