Programming for Text Analysis: Introduction to Literary Text Mining in R

This course will introduce basic programming and text-analysis techniques to humanities students. In this class we will work independently and collaboratively to perform humanities research using computational tools. Students will gain a working familiarity with the programming language R. Through a series of close reading, distant reading, writing, and programming assignments, students will learn the basics of creating a corpus, string manipulation, and regular expressions. Later in the course, students will learn techniques such as tokenization, chunking, extraction of thematically significant words, and sentiment analysis. In addition to learning how to employ these methods, we will also discuss the challenges and limitations of computational analysis.
Course Attributes: EN H; AS HUM; FA HUM; AR HUM

Programming for Text Analysis: Introduction to Literary Text Mining in R

COMPARATIVE LITERATURE 5320

Section 01