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Julia Silge

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  • Comment: No indepth coverage in independent reliable sources. GRuban (talk) 20:48, 14 March 2018 (UTC)

Julia Silge
Born (1978-06-10) June 10, 1978 (age 46)
Alma materTexas A&M University, University of Texas at Austin
Scientific career
Fields
Websitejuliasilge.com

Julia Silge (born June 10, 1978) is a data scientist working at Stack Overflow.[1]. She is known for being the author of the tidytext[2] R package on text mining[3] and the associated book Text Mining with R: A Tidy Approach[4] written with collaborator/co-author David Robinson in 2017.[5]

Education

Silge graduated magna cum laude from Texas A&M University with a B.S. in physics in 2000. After college, Silge enrolled in graduate school at the University of Texas at Austin, where she earned her M.A. in 2002 and Ph.D. in astronomy in 2005.[1][6]

Work

Before pursuing career in the field of data science, Silge was an adjunct professor at University of New Haven and Quinnipiac University from 2006 to 2008. During 2012 to 2016, Silge worked as a content developer and support representative at Sapling Learning. In 2016, she officially started her career as a data scientist at Datassist, and then at Stack Overflow.

As StackOverflow's data scientist, Silge often comments on the popularity of programming languages[7] and skills for technologists[8].

Silge also teaches a course, Sentiment Analysis in R: The Tidy Way, on DataCamp.[9]

In April 2017, Silge attended OpenVis Conf in Boston as a speaker and gave a talk about text mining and data visualization in a tidy way[10]. In her book, Silge has done text analysis on Jane Austin novels [11], popular songs[12], NASA metadata, and Twitter archives[13]

Silge enjoys data visualization, text mining, statistical programming, and teaching.[14] Her work focuses on data analysis, modeling, and communication.[1]

Personal Story

In February 2017, Silge tried to call Senator Orrin Hatch to express her concerns about Betsy DeVos, who was President Trump's nominee for education secretary, but the phone line was always busy. Therefore, Silge decided to order a pizza along with the note asking Hatch to vote against the confirmation of Betsy DeVos. Although the pizza did not pass through the security scan, Hatch's staff eventually saw Silge's tweet about the pizza. Despite Silge's creative effort, Senator Hatch still voted to confirm Betsy DeVos.[15]

Bibliography

  • Silge, Julia; Robinson, David (2017). Text mining with R : A tidy approach (First ed.). O'Reilly. ISBN 9781491981658. OCLC 993582128.

References

  1. ^ a b c "Stack Overflow profile of Julia Silge". Stack Overflow. Retrieved 2018-02-04.
  2. ^ tidytext
  3. ^ Tache, Nicole (2017-07-26). "R's tidytext turns messy text into valuable insight". O'Reilly Media. Retrieved 2018-03-22.
  4. ^ Text Mining with R: A Tidy Approach
  5. ^ "Test Mining with R". O'Reilly. Retrieved 2018-02-04.
  6. ^ "Julia Silge Resume". Julia Silge. Retrieved 2018-02-04.
  7. ^ "Which programming languages earn you the most money? Use this calculator to check". ZDNet. Retrieved 2018-02-23.
  8. ^ "These are the 10 skills to learn if you want to advance in a career in tech". Business Insider. Retrieved 2018-02-23.
  9. ^ "Sentiment Analysis in R: The Tidy Way". DataCamp. Retrieved 2018-02-04.
  10. ^ "OpenVis Conf 2017". OpenVis Conf. Retrieved 2018-02-04.
  11. ^ "The Life Changing Magic of Tidying Text". Julia Silge. Retrieved 2018-02-23.
  12. ^ "The states that Americans sing about most". The Washington Post. Retrieved 2018-02-23.
  13. ^ "R's tidytext turns messy text into valuable insight". The Washington Post. Retrieved 2018-03-31.
  14. ^ "Julia Silge - Data Camp". Data Camp. Retrieved 2018-02-04.
  15. ^ "She had something to say about Betsy DeVos. So she sent her senator a pizza — with a message". The Washington Post. Retrieved 2018-02-04.

Category:American statisticians Category:Texas A&M University alumni Category:University of Texas at Austin alumni Category:Living people Category:Women data scientists