Introduction to Python and Digital Humanities: Text Analysis

On this course, college students will first be taught the basics of Python, beginning at a newbie stage. This contains ideas comparable to variables, that are used to retailer knowledge, if statements, which permit for conditional execution of code, and for loops, that are used to repeat duties. By understanding and making use of these ideas, college students will acquire the talents wanted to construct their very own fundamental Python applications. College students will then create a program that analyzes the frequencies of phrases in a given textual content, offering a hands-on expertise with fundamental programming and textual content processing.

Afterwards, the course will introduce college students to the Pure Language Toolkit (NLTK), a strong Python library for working with textual content knowledge. With NLTK, college students will discover numerous strategies for analyzing totally different parts of textual content, comparable to tokenization, part-of-speech tagging, and similarity of phrases. This part of the course will deepen their understanding of textual content evaluation and its purposes.

Lastly, the course will educate on the utilization of Voyant, a web-based textual content evaluation software. College students will discover ways to use Voyant to conduct extra superior analyses, comparable to visualizing knowledge and figuring out patterns with no need to make use of Python or any code.

This course will likely be a superb first step for novices to construct their fundamentals and start their work within the subject of digital humanities.