LEADER 01234nam0-2200385---450- 001 990000639970203316 005 20050628124426.0 010 $a90-5183-827-1 035 $a0063997 035 $aUSA010063997 035 $a(ALEPH)000063997USA01 035 $a0063997 100 $a20010925d1995----||ita|0103 ba 101 $aspa 102 $aNL 105 $a|||| ||||| 200 1 $aMontajes y fragmentos$euna aproximaciòn a la narrativa española de vanguardia$fJosé M. del Pino 210 $aAmsterdam [etc.]$cRodopi$d1995 215 $aXIII, 201 p.$d22 cm 225 $aTeorìa literaria$itexto y teoria$v15 410 1$12001$aTeorìa literaria$itexto y teoria$v15 606 $aLetteratura spagnola$xMovimenti d'avanguardia 676 $a863.62 700 1$aDEL PINO,$bJose M.$0547881 912 $a990000639970203316 951 $aVI.5.B. 302(II SP C 334)$b159605 l.m.$cII SP$d00076580 959 $aBK 969 $auma 979 $aCHIARA$b40$c20010925$lUSA01$h1548 979 $aCHIARA$b40$c20010925$lUSA01$h1556 979 $c20020403$lUSA01$h1713 979 $aPATRY$b90$c20040406$lUSA01$h1644 979 $aCOPAT7$b90$c20050628$lUSA01$h1244 996 $aMontajes y fragmentos$9957948 997 $aUNISA LEADER 05260nam 22006855 450 001 9910299348503321 005 20251202115452.0 010 $a3-319-95465-2 024 7 $a10.1007/978-3-319-95465-3 035 $a(CKB)4100000007158823 035 $a(MiAaPQ)EBC5602997 035 $a(DE-He213)978-3-319-95465-3 035 $a(PPN)232472254 035 $a(EXLCZ)994100000007158823 100 $a20181121d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig Data in Computational Social Science and Humanities /$fedited by Shu-Heng Chen 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (391 pages) 225 1 $aComputational Social Sciences,$x2509-9582 311 08$a3-319-95464-4 320 $aIncludes bibliographical references and index. 327 $aBig 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. 330 $aThis edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as "data", the very use of this data, and what we now call "knowledge". Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities. 410 0$aComputational Social Sciences,$x2509-9582 606 $aData mining 606 $aExperimental economics 606 $aQuantitative research 606 $aNatural language processing (Computer science) 606 $aTechnology$xPhilosophy 606 $aPolitical science 606 $aData Mining and Knowledge Discovery 606 $aExperimental Economics 606 $aData Analysis and Big Data 606 $aNatural Language Processing (NLP) 606 $aPhilosophy of Technology 606 $aPolitical Science 615 0$aData mining. 615 0$aExperimental economics. 615 0$aQuantitative research. 615 0$aNatural language processing (Computer science). 615 0$aTechnology$xPhilosophy. 615 0$aPolitical science. 615 14$aData Mining and Knowledge Discovery. 615 24$aExperimental Economics. 615 24$aData Analysis and Big Data. 615 24$aNatural Language Processing (NLP). 615 24$aPhilosophy of Technology. 615 24$aPolitical Science. 676 $a300.285 702 $aChen$b Shu-Heng$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299348503321 996 $aBig Data in Computational Social Science and Humanities$92005774 997 $aUNINA