Text As Data May 2018

Event Phone: 1-610-715-0115

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Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).
In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

 

A 2-Day Seminar Taught by Christopher Bail, Ph.D.

The past decade has not only witnessed an explosion of data produced by websites such as Twitter, Facebook, Google, and Wikipedia, but also the mass digitization of historical archives and administrative records. Though these new data sources hold enormous potential to address a range of pressing problems within industry and academia, text-based data are not easily collected or analyzed using conventional statistical methods. Fortunately, the widespread availability of text-based data coincides with major advances in the fields of computer science and natural language processing.

This hands-on course will provide participants with an overview of popular techniques for collecting and analyzing text based data—including screen-scraping, application programming interfaces or APIs, topic modeling, and network-based text classifiers. Basic knowledge of R is required for this course. Though the class will review basic programming techniques such as loops and functions, students with no familiarity with these techniques may wish to review them in advance. The majority of our time will be spent mastering the following R packages: rvest, twitterR, RFacebook, lda, stm, ldaviz, and textnets, as well as a variety of functions in base R.

Venue:  

Address:
1515 Market Street, Philadelphia, Pennsylvania, 19103, United States