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Introduction to Text Analytics
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Introduction to Text Analytics
A Guide for Digital Humanities & Social Sciences



November 2024 | 344 pages | SAGE Publications Ltd


This easy-to-follow book will revolutionise how you approach text mining and data analysis as well as equipping you with the tools, and confidence, to navigate complex qualitative data.

It can be challenging to effectively combine theoretical concepts with practical, real-world applications but this accessible guide provides you with a clear step-by-step approach.

Written specifically for students and early career researchers this pragmatic manual will: 

•             Contextualise your learning with real-world data and engaging case studies.

•             Encourage the application of your new skills with reflective questions.

•             Enhance your ability to be critical, and reflective, when dealing with imperfect data.

Supported by practical online resources, this book is the perfect companion for those looking to gain confidence and independence whilst using transferable data skills. 

 
Basic Concepts and Tools for Text Analytics
 
Chapter 1: Computational and Traditional Text Analysis
 
Chapter 2: Basic Tools for Text Analytics
 
Chapter 3: Dataset Creation and Considerations
 
Language and Computers
 
Chapter 4: Language and Computers
 
Chapter 5: Regular Expressions
 
Programming for Text Analytics
 
Chapter 6: Introduction to Python Programming
 
Chapter 7: Pre-processing Textual Data
 
Chapter 8: Data Manipulation and Exploration
 
Chapter 9: Data Visualization
 
Social Media Analytics
 
Chapter 10: Text Mining
 
Chapter 11: Social Media Analysis
 
Chapter 12: The Basics of Machine Learning
 
Publishing
 
Chapter 13: LaTex Basics

Emily Öhman

Dr. Emily Öhman is an Assistant Professor of Digital Humanities at Waseda University, Japan, where she bridges the gap between computational techniques and humanities research. Awarded her PhD in Language Technology from the University of Helsinki in 2021, she has since carved a niche for herself in the realms of sentiment analysis and emotion detection, particularly within narrative texts. Her work, which employs natural language processing (NLP) methods, spans a multitude of interdisciplinary projects, from computational literary studies to political science, and social media and communication studies analysis. More About Author

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