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Text Analysis with @WeAreRLadies

This repo contains materials from two presentations where we analyzed the text from @WeAreRLadies' tweets:

The script follows tutorials from Text Mining with R.

@WeAreRLadies is the rotating curation account of R-Ladies Global.

The Data

There are two data files, found here (one used for each talk):

  • rocur_tweets_thru_June2019.csv was used for the talk at R-Ladies Chicago
  • rocur_tweets_thru_Dec2019.csv was used at rstudio::conf(2020)

The data files have the following columns:

  • Tweet.id
  • Tweet.permalink
  • Tweet.text
  • date
  • time_only
  • time (timestamp with both date and time)
  • impressions
  • engagements
  • engagement.rate (calculated as engagement / impressions)
  • retweets
  • replies
  • likes
  • Start (curator start date)
  • End (curator end date)
  • Curator (curator name)
  • Twitter (curator twitter handle)
  • Student (self-reported student status, 1=Student; 0=Not a student)

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Materials from @WeAreRLadies text analysis talk

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