Muutke küpsiste eelistusi

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences 2018 ed. [Kõva köide]

Edited by
  • Formaat: Hardback, 217 pages, kõrgus x laius: 235x155 mm, kaal: 518 g, 51 Illustrations, color; 10 Illustrations, black and white; XII, 217 p. 61 illus., 51 illus. in color., 1 Hardback
  • Sari: Quantitative Methods in the Humanities and Social Sciences
  • Ilmumisaeg: 08-Nov-2018
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319970631
  • ISBN-13: 9783319970639
Teised raamatud teemal:
  • Kõva köide
  • Hind: 95,02 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 111,79 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 217 pages, kõrgus x laius: 235x155 mm, kaal: 518 g, 51 Illustrations, color; 10 Illustrations, black and white; XII, 217 p. 61 illus., 51 illus. in color., 1 Hardback
  • Sari: Quantitative Methods in the Humanities and Social Sciences
  • Ilmumisaeg: 08-Nov-2018
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319970631
  • ISBN-13: 9783319970639
Teised raamatud teemal:

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.


1 Introduction: Tracing the History of a Discipline Through Quantitative and Qualitative Analyses of Scientific Literature
1(24)
Arjuna Tuzzi
Part I Tracing the Life-Cycle of Ideas
2 Tracing the Words of the Analytic Turn in the Journal of Philosophy
25(20)
Giuseppe Spolaore
Pierdaniele Giaretta
3 Exploring the History of American Sociology Through Topic Modelling
45(20)
Giuseppe Giordan
Chantal Saint-Blancat
Stefano Sbalchiero
4 Histories of Social Psychology in Europe and North America, as Seen from Research Topics in Two Key Journals
65(22)
Valentina Rizzoli
5 First Steps in Shaping the History of Linguistics in Italy: The Archivio Glottologico Italiano
87(18)
Giovanni Urraci
Michele A. Cortelazzo
6 The Recent History of Statistics: Comparing Temporal Patterns of Word Clusters
105(28)
Matilde Trevisani
Arjuna Tuzzi
Part II Concepts and Methods
7 Treat Texts as Data but Remember They Are Made of Words: Compiling and Pre-processing Corpora
133(18)
Stefano Ondelli
8 Automatic Multiword Identification in a Specialist Corpus
151(16)
Pasquale Pavone
9 Functional Data Analysis and Knowledge-Based Systems
167(22)
Matilde Trevisani
10 Topic Detection: A Statistical Model and a Quali-Quantitative Method
189(22)
Stefano Sbalchiero
11 What Have We Learnt? Some Concluding Remarks
211
Arjuna Tuzzi