Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

An Introduction to Humanities Analytics in Three Examples

Complexity Explorer via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the foundations of humanities analytics through three illuminating examples in this comprehensive lecture. Delve into the British Archive, the Old Bailey, and diary analysis to understand key concepts like operationalization, signal processing, and topic modeling. Learn how to extract meaningful insights from digital sources, empowering humanities scholars with practical text analysis methods. Discover the applications of probability, natural language processing, and cultural analytics in extracting content and deriving meaning from historical texts. Gain valuable knowledge on measuring predictability in debates and identifying leaders and followers through reflexive diary entries. This lecture, part of a broader course supported by the National Endowment for the Humanities, aims to demystify computational text analysis for humanities scholars, enabling new avenues of research and scholarship.

Syllabus

Introduction
The British Archive
The Old Bailey
Emma Smith Mary Byrne
Signal
Operationalization
What is a diary
Operationalisation
The Spirit Category
Review
Signals Patterns
reflexive diary entries
topic modeling
examples
predictability in debate
leaders and followers

Taught by

Complexity Explorer

Reviews

Start your review of An Introduction to Humanities Analytics in Three Examples

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.