Book Title: Digital Humanities Tools and Techniques II

by Mark Wachowiak, Ph.D.

Edited by Heather Carroll and Kyle Charron

Cover image for Digital Humanities Tools and Techniques II

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Contents

Introduction
I. Information Visualization in the Humanities
II. Implementing and Analyzing N-Grams in Python
1. Reading
2. Implementing and Analyzing N-Grams in Python
III. Advanced Text Analysis In R
IV. Text Analysis with K-Means Clustering
V. Text Analysis with Term Frequency-Inverse Document Frequency
VI. Topic Modeling and Basic Topic Modeling In R
VII. Text Clustering Based on Tf-Idf Features
1. Reading
2. Text Clustering Based on Tf-Idf Features
VIII. Social Network Simulation
1. Reading
2. Social Network Simulation
IX. Introduction to Principal Component Analysis
1. Reading
2. Introduction to Principal Component Analysis
X. Introduction to T-Sne for High Dimensional Visualization
XI. Artificial Neural Networks
XII. Analysis of Artificial Neural Networks
1. Reading
2. Analysis of Artificial Neural Networks
XIII. Importance of Texture
XIV. Immersion and Interactivity and Museum Exhibits
XV. Accessibility and Universal Design
1. Accessibility and Universal Design
2. Work Cited
Appendix

Book Information

Authors

Mark Wachowiak, Ph.D.

License

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Digital Humanities Tools and Techniques II Copyright © 2022 by Mark Wachowiak, Ph.D. is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.

Metadata

Title: Digital Humanities Tools and Techniques II
Authors: Mark Wachowiak, Ph.D.
Editors: Heather Carroll and Kyle Charron
Reviewers: Heather Carroll and Kyle Charron
Contributors: Renata Smolikova and Ryan Hehn
License: Digital Humanities Tools and Techniques II Copyright © 2022 by Mark Wachowiak, Ph.D. is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.
Publisher: Teaching Hub, Nipissing University
Publication Date: February 28, 2022