<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/understanding-gender-roles-in-movies-with-text-mining/"></div></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="https://juliasilge.com/blog/women-in-film/"> Rstats on Julia Silge</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>I have a new <a rel="nofollow" href="https://pudding.cool/2017/08/screen-direction/" target="_blank">visual essay up at The Pudding</a> today, using text mining to explore how women are portrayed in film.</p>
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<p>The R code behind this analysis in <a rel="nofollow" href="https://github.com/juliasilge/women-in-film" target="_blank">publicly available on GitHub</a>.</p>
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<p>I was so glad to work with the talented <a rel="nofollow" href="https://twitter.com/codenberg" target="_blank">Russell Goldenberg</a> and <a rel="nofollow" href="https://twitter.com/proquesasker" target="_blank">Amber Thomas</a> on this project, and many thanks to <a rel="nofollow" href="https://twitter.com/matthew_daniels" target="_blank">Matt Daniels</a> for inviting me to contribute to <a rel="nofollow" href="https://pudding.cool/" target="_blank">The Pudding</a>. I’ve been a big fan of their work for a long time!</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="https://juliasilge.com/blog/women-in-film/"> Rstats on Julia Silge</a></strong>.</div>
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