A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools […] This is the website for Text Mining with R! Visit the GitHub repository for this site, find the book at O’Reilly, or buy it on Amazon. This work by Julia Silge and David Robinson is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States License. … Read more →

Felix Lennert Dear student, if you read this script, you are either participating in one of my courses on digital methods for the social sciences, or at least interested in this topic. If you have any questions or remarks regarding this script, hit me up at felix.lennert@ensae.fr. This script will introduce you to two techniques I regard as elementary for any aspiring (computational) social scientist: the collection of digital trace data via either scraping the web or acquiring data from application programming interfaces (APIs) and the analysis of text in an automated fashion (text mining). … Read more →

Felix Lennert Dear student, if you read this script, you are either participating in one of my courses on digital methods for the social sciences, or at least interested in this topic. If you have any questions or remarks regarding this script, hit me up at felix.lennert@ensae.fr. This script will introduce you to two techniques I regard as elementary for any aspiring (computational) social scientist: the collection of digital trace data via either scraping the web or acquiring data from application programming interfaces (APIs) and the analysis of text in an automated fashion (text mining). … Read more →

This book is supposed to introduce the reader (i.e., you) to a fundamental technique for computational social science research: the quantitative analysis of text. […] Dear student, if you read this script, you are either participating in one of my courses on digital methods for the social sciences, or at least interested in this topic. If you have any questions or remarks regarding this script, hit me up at felix.lennert@ensae.fr. This script will introduce you to the quantitative analysis of text using R. Through the last decades, more and more text has become readily available. Think for … Read more →

This book is supposed to introduce the reader (i.e., you) into some fundamental techniques for computational social science research: acquiring online data, agent-based modeling, and text mining. […] Dear student, if you read this script, you are either participating in one of my courses on digital methods for the social sciences, or at least interested in this topic. If you have any questions or remarks regarding this script, hit me up at felix.lennert@ensae.fr. This script will introduce you to three techniques I regard as elementary for any aspiring (computational) social scientist: the … Read more →

Notes for “Text Mining with R: A Tidy Approach” […] This is a notebook concerning Text Mining with R: A Tidy Approach(Silge and Robinson 2017). tidyverse and tidytext are automatically loaded before each chapter: I have defined a simiple function, facet_bar() to meet the frequent need in this book to make a facetted bar plot, with the y variable reordered by x in each facet by: As a quick demostration of this function, we can plot the top 10 common words in Jane Austen’s six books: … Read more →