Tracing the Life Cycle of Ideas in the Humanities and Social Sciences (Hardcover, 1st ed. 2018)

This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Quantitative Methods in the Humanities and Social Sciences
Release date:	November 2018
First published:	2018
Editors:	Arjuna Tuzzi
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	217
Edition:	1st ed. 2018
ISBN-13:	978-3-319-97063-9
Categories:	Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-319-97063-1
Barcode:	9783319970639

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!