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

Informationen zum Autor 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. Klappentext Clear, nuanced introduction to digital text mining and data analysis specifically for students in digital humanities and computational social science. Inhaltsverzeichnis 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

Product details

• Authors: Emily Ohman, Emily Öhman
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Hardback
• Released: 20.01.2025
• EAN: 9781529620054
• ISBN: 978-1-5296-2005-4
• No. of pages: 360
• Subjects: Natural sciences, medicine, IT, technology > Natural sciences (general); Social sciences, law, business > Social sciences (general); SOCIAL SCIENCE / Research, SOCIAL SCIENCE / Methodology, Data science and analysis: general, Research methods: general, For higher / tertiary / university education