Textual Analysis: Frequencies and Stop Words in Dirty Text

0Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The third of the six Digital Humanities assignments, Textual Analysis, is presented in this chapter, beginning with a brief introduction to textual analysis as an analytical method of great interest to humanities programmers. The assignment description (written in a form and with a point-of-view suitable to be copied and pasted into materials given directly to students), required support files and resources, skills utilized in the assignment (which include file I/O, string methods and indexing, and an introduction to algorithm design), assignment management techniques and issues (mostly involved with helping students learn to build mental models to deal with abstract structures, like parallel lists), atomic code for the assignment (a solar system planet exercise), expected output from student submitted work in this assignment, and variations for a number of student skill levels are provided.

Cite

CITATION STYLE

APA

Kokensparger, B. (2018). Textual Analysis: Frequencies and Stop Words in Dirty Text. In SpringerBriefs in Computer Science (pp. 47–57). Springer. https://doi.org/10.1007/978-3-319-99115-3_7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free