Shulph Ink
Statistical Semantics: Methods and Applications
Statistical Semantics: Methods and Applications
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This book discusses the application of statistical methods to texts in behavioral science, focusing on investigating semantic relationships between words based on empirical corpus data. It provides an accessible introduction to techniques for cognitive psychologists, linguists, and social psychologists.
Format: Paperback / softback
Length: 262 pages
Publication date: 09 June 2021
Publisher: Springer Nature Switzerland AG
This comprehensive book delves into the application of diverse statistical techniques to texts, rather than solely focusing on numerical data, across various fields within behavioral science. It presents a novel approach where quantitative methods are employed to analyze data, a departure from the traditional qualitative research methods that have been historically used to study such data. To highlight the quantitative dimensions of semantics and the potential for scientific interferences, the book introduces the concept of statistical semantics and provides a subset of techniques within this domain. Specifically, the book concentrates on methods that enable the exploration of semantic relationships between words, drawing upon empirical corpus data. It guides the reader through the application of various statistical methods on texts, such as statistical tests to determine if two sets of text are statistically different, techniques for predicting variables from text, and methods for summarizing and visually representing texts. By offering an accessible and hands-on introduction to a selection of essential techniques, this book serves as a valuable resource for cognitive psychologists, linguists, and social psychologists alike.
Weight: 454g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030372521
Edition number: 1st ed. 2020
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