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(This article was first published on <strong><a href="http://juliasilge.com/blog/RStudio-Conf/"> data science ish</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>I spoke on approaching text mining tasks using tidy data principles at <a target="_blank" rel="nofollow" href="https://www.rstudio.com/conference/">rstudio::conf</a> yesterday. I was so happy to have the opportunity to speak and the conference has been a great experience.</p>
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<p>If you want to catch up on what has been going on at rstudio::conf, Karl Broman put together a <a target="_blank" rel="nofollow" href="https://github.com/kbroman/RStudioConf2017Slides">GitHub repo of slides</a> and Sharon Machlis has been <a target="_blank" rel="nofollow" href="http://www.computerworld.com/article/3157004/data-analytics/best-tips-and-takeaways-from-rstudio-conference.html">live-blogging the conference</a> at Computerworld. A highlight for me was <a target="_blank" rel="nofollow" href="https://twitter.com/andrewflowers">Andrew Flowers’</a> talk on data journalism and storytelling; I don’t work in data journalism but I think I can apply almost everything he said to how I approach what I do.</p>
<blockquote data-lang="en" class="twitter-tweet"><p dir="ltr" lang="en">Amazing keynote by <a target="_blank" rel="nofollow" href="https://twitter.com/andrewflowers">@andrewflowers</a> on data storytelling at <a target="_blank" rel="nofollow" href="https://twitter.com/hashtag/rstudioconf?src=hash">#rstudioconf</a> <a target="_blank" rel="nofollow" href="https://t.co/G5Zbo0iaz5">pic.twitter.com/G5Zbo0iaz5</a></p>
<p>— Julia Silge (@juliasilge) <a target="_blank" rel="nofollow" href="https://twitter.com/juliasilge/status/820273572509786112">January 14, 2017</a></p></blockquote>
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<p>My collaborator <a target="_blank" rel="nofollow" href="http://varianceexplained.org/">David Robinson</a> and I made a very exciting announcement at the conference; we are publishing our book on text mining in R using tidy data principles with O’Reilly!</p>
<p><a target="_blank" rel="nofollow" href="http://tidytextmining.com/"><img alt="BUNNY" src="https://i0.wp.com/juliasilge.com/figs/2017-01-14-RStudio-Conf/cover.png?w=456" data-recalc-dims="1"></a></p>
<p>The book will continue to be <a target="_blank" rel="nofollow" href="http://tidytextmining.com/">available online</a>; we are working on getting the content finished and you can expect to see the published product from O’Reilly the middle of this year. I was really pleased to have great discussions with people at rstudio::conf about how they are analyzing text and approaching natural language processing, and it was a pleasure to just connect with people in the R community in general.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://juliasilge.com/blog/RStudio-Conf/"> data science ish</a></strong>.</div>
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