Tracing the Life Cycle of Ideas in the Humanities and Social Sciences

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Tuzzi, Arjuna (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Quantitative Methods in the Humanities and Social Sciences,
• Θέματα: Statistics .; Data mining.; History.; Statistics for Social Sciences, Humanities, Law.; Data Mining and Knowledge Discovery.; History of Science.

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 readin...

Πίνακας περιεχομένων:

• Chapter 1. Introduction. Tracing the History of a Discipline through Quantitative and Qualitative Analyses of Scientific Literature
• Chapter 2. Tracing the Words of the Analytic Turn in the Journal of Philosophy
• Chapter 3. Exploring the History of American Sociology through Topic Modelling
• Chapter 4. Histories of Social Psychology in Europe and North America, as Seen from Research Topics in Two Key Journals
• Chapter 5. First Steps in Shaping the History of Linguistics in Italy: The Archivio Glottologico Italiano
• Chapter 6. The Modern History of Statistics: Comparing Temporal Patterns of Word Clusters
• Chapter 7. Treat Texts as Data but Remember They Are Made of Words: Compiling and Pre-processing Corpora
• Chapter 8. Automatic Multiword Identification in a Specialist Corpus
• Chapter 9. Functional Data Analysis and Knowledge-Based Systems
• Chapter 10. Topic Detection. A Statistical Model and a Quali-quantitative Method
• Chapter 11. What Have We Learnt? Some Concluding Remarks.-.