Presented April 25, 2018.

Text data is increasingly important in many domains, and tidy data principles and tidy tools can make text mining easier and more effective. I will demonstrate how we can manipulate, summarize, and visualize the characteristics of text using these methods and R packages from the tidy tool ecosystem. These tools are highly effective for many analytical questions 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, measuring tf-idf, and measuring word vectors.

Presenter

Julia Silge, PhD, Data Scientist, Stack Overflow