Text Mining with Tidy Data Principles with Julia Silge

Co-hosted event with Portland Data Science (https://www.meetup.com/Portland-Data-Science-Group/) and Portland R Users (https://www.meetup.com/portland-r-user-group/) Meetups!

Julia Silge is gracing PDX with her presence and has offered to share her knowledge on Tidy Text Mining Principles! Julia is based out of Salt Lake City, Utah and currently works for Stack Overflow as a Data Scientist. She is also co-author of the book "Text Mining with R" available here - http://tidytextmining.com/

Abstract:

Unstructured, text-heavy data sets are increasingly important in many domains, and tidy data principles and tidy tools can make text mining easier and more effective. In this talk, I will demonstrate how we can manipulate, summarize, and visualize the characteristics of text using R packages from the tidy tool ecosystem; these tools extend naturally to many text analyses and allow analysts to integrate natural language processing into effective workflows already in wide use. We will explore how to implement approaches such as sentiment analysis of texts and measuring tf-idf to quantify what a document is about.

IBM is sponsoring food + drinks! We will have hearty appetizers from Elephant's Delicatessen (w/ vegetarian and GF options) and a small selection of beer, wine, and non-alcoholic beverages.