Julia Silge

I am heading home from my third year of attending rstudio::conf!

I am an enthusiastic proponent of using tidy data principles for dealing with text data.

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I remember the first time I saw a deep learning text generation project that was truly compelling and delightful to me.

At the beginning of this year, I wrote a blog post about how to get started with the stm and tidytext packages for topic modeling.

Earlier this spring, one of my data science friends here in SLC got in contact with me about some fun analysis.

This morning I was scrolling through Twitter and noticed Alberto Cairo share this lovely data visualization piece by Adam J.

Note: Cross-posted with the Stack Overflow blog.

This year, I have given some talks about understanding principal component analysis using what I spend day in and day out with, Stack Overflow data.

I am so lucky to work with so many generous, knowledgeable, and amazing people at Stack Overflow, including Ian Allen and Kirti Thorat.

In a recent release of tidytext, we added tidiers and support for building Structural Topic Models from the stm package.

I am pleased to announce that tidytext 0.1.6 is now on CRAN!

I recently passed my one-year anniversary of working at Stack Overflow as a data scientist.

A few weeks ago, I wrote a post about finding word vectors using tidy data principles, based on an approach outlined by Chris Moody on the StitchFix tech blog.

I love emoji ❤️ and I love xkcd, so this recent comic from Randall Munroe was quite a delight for me.

Last week I saw Chris Moody’s post on the Stitch Fix blog about calculating word vectors from a corpus of text using word counts and matrix factorization, and I was so excited!

Note: cross-posted with the Stack Overflow blog.

I have a new post on the Stack Overflow blog today about the complex, interrelated ecosystems of software development.

I am pleased to announce that tidytext 0.1.4 is now on CRAN!

NOTE: Read more here about why I no longer recommend taking my courses at DataCamp.

I have a new visual essay up at The Pudding today, using text mining to explore how women are portrayed in film.

At useR!

Earlier this month, I, along with John Nash, Spencer Graves, and Ludovic Vannoorenberghe, organized a session at useR!

Note: Cross-posted with the Stack Overflow blog.

Recently, I have been following the development and release of Kyle Walker’s tidycensus package.

I am pleased to announce that tidytext 0.1.3 is now on CRAN!

A couple of weeks ago, I saw on Dirk Eddelbuettel’s blog that R 3.4.0 was going to include a function for obtaining information about packages currently on CRAN, including basically everything in DESCRIPTION files.

Today is the one year anniversary of the janeaustenr package’s appearance on CRAN, its cranniversary, if you will.

Like I mentioned in my last blog post, I am contributing to a session at userR 2017 this coming July that will focus on discovering and learning about R packages.

I am one of the organizers for a session at userR 2017 this coming July that will focus on discovering and learning about R packages.

Note: Cross-posted with the Stack Overflow blog.

Note: Cross-posted with the Stack Overflow blog The 2017 Stack Overflow Developer Survey opened last week, and we on the Data Team are looking forward to analyzing the survey results to better understand our developer community.

I spoke on approaching text mining tasks using tidy data principles at rstudio::conf yesterday.

It’s been about a month since the U.S. presidential election, with Donald Trump’s victory over Hillary Clinton coming as a surprise to most.

In learning more about text mining over the past several months, one aspect of text that I’ve been interested in is readability.

My adopted home state of Utah has been a weird place this election cycle.

I am so pleased to announce that tidytext 0.1.2 is now available on CRAN.

Today I’m giving a talk for the Department of Physics and Astronomy at the University of Utah about careers outside academia for astronomers and physicists.

Earlier this week, I published a post about song lyrics and how different U.S. states are mentioned at different rates, and at different rates relative to their populations.

The inspiration for this post is a joint venture by both me and my husband, and its genesis lies more than 15 years in our past.

I saw this tweet making the rounds this past week.

Today I was so pleased to see a new data package hit CRAN, and how wonderful to see such accomplished women writing R packages.

Almost six months ago (!)

I have been full of grief and sadness and some anger in the wake of yet more videos going viral in the past couple days showing black men being killed by police officers.

At the end of last week, Dave Robinson and I released a new version of tidytext on CRAN, our R package for text mining using tidy data principles.

Have you seen all those attractive green badges on other people’s R packages and thought, “I want a lovely green badge!”

When I went to the rOpenSci unconference about a month ago, I started work with Dave Robinson on a package for text mining using tidy data principles.

Last week, I officially became the maintainer of a CRAN package!

Late last month, I analyzed results from Utah’s Republican and Democratic caucuses to show how the different presidential candidates fared across Utah.

Just kidding; it was amazing.