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Herausgeber: 
  • Arjuna Tuzzi
  • Tracing the Life Cycle of Ideas in the Humanities and Social Sciences 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2018  
    Genre:  Soziologie 
     
    Analysis of Textual Data / B / Chronological Textual Data / Data Mining / Data Mining and Knowledge Discovery / Diachronic Corpora / Expert systems / knowledge-based systems / Geschichte der Naturwissenschaften / Historical Corpora / History / History of Science / Mathematics and Statistics / Quantitative Epistemology / Quantitative History / Statistics / Statistics for Social Sciences, Humanities, Law / Wissensbasierte Systeme, Expertensysteme
    ISBN:  9783319970639 
    EAN-Code: 
    9783319970639 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Quantitative Methods in the Humanities and Social Sciences  
    Dimensionen:  H 235 mm / B 155 mm / D 18 mm 
    Gewicht:  518 gr 
    Seiten:  217 
    Illustration:  XII, 217 p. 61 illus., 51 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 thoselarge 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.


      



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