Big Data in Computational Social Science and Humanities

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Chen, Shu-Heng (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: Computational Social Sciences,
• Θέματα: Data mining.; Behavioral economics.; Big data.; Natural language processing (Computer science).; Philosophy.; Political science.; Data Mining and Knowledge Discovery.; Behavioral/Experimental Economics.; Big Data/Analytics.; Natural Language Processing (NLP).; Philosophy of Technology.; Political Science.

This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including an...

Πίνακας περιεχομένων:

• Big Data in Computational Social Sciences and the Humanities: An Introduction
• Part I: Practice
• Application of Citizen Science and Volunteered Geographic Information (VGI): Tourism Development for Rural Communities
• Telling Stories Through R: Geo-temporal Mappings of Epigraphic
• Expressing Dynamic Maps through 17th-Century Taiwan Dutch Manuscripts
• Has Homo economicus Evolved into Homo sapiens from 1992 to 2014?: What Does Corpus Linguistics Say?
• Big Data and FinTech
• Health in Biodiversity-Related Conventions: Analysis of a Multiplex Terminological Network (1973-2016)
• How Does Linguistic Complexity in Shakespeare's Plays Relate to the Production History of a Commercial American Theatre?
• Language Communities, Corpora, and Cognition
• From Naive Expectation to Realistic Progress - Government Applications of Big Data to Public Opinions Mining
• Understanding "the User-Generated": The Construction of the "ABC model" and the Imagination of "Digital Humanities"
• Part II: Survey and Challenges
• Big Data Finance and Financial Markets
• Applications of Internet Methods in Psychology
• Spatial Humanities: An Integrated Approach to Spatiotemporal Research
• Cloud Computing in the Social Sciences and Humanities
• Analysis of Social Media Data: An Introduction to the Characteristics and Chronological Process Spatial Humanities
• Big Data and Research Opportunities Using HRAF Databases
• Computational History: From Big Data to Big Simulations
• A Posthumanist Reflection on the Digital Humanities and Social Sciences.