00832nam0-22003011i-450-99000698958040332120011106000698958FED01000698958(Aleph)000698958FED0100069895820011106d1903----km-y0itay50------bafreBEy-------001yyDroit ecclésiastique civil belgeVol. I.Etat et eglisesGiulio GaglianiBruxellesFerd. Larcier1903279 p.24 cm322.120itaGagliani,Giulio257159ITUNINARICAUNIMARCBK990006989580403321II H 17176FGBCII H 1814103FGBCFGBCDroit ecclésiastique civil belge698642UNINA01636nam0 22004453i 450 VAN0028260320241210025012.150N978303064552620241106d2021 |0itac50 baengCH|||| |||||i e bcrLinear Dynamical SystemsMircea D. GrigoriuChamSpringer2021ix, 153 p.ill.24 cm37-XXDynamical systems and ergodic theory [MSC 2020]VANC020363MFDynamical mechanical systemsKW:KDynamicsKW:KEarthquake engineeringKW:KEigenfunctionsKW:KEigenvaluesKW:KEngineering mechanicsKW:KIndustrial aerodynamicsKW:KStructural DynamicsKW:KWind engineeringKW:KWind turbinesKW:KCHChamVANL001889GrigoriuMircea D.VANV235457148085Springer <editore>VANV108073650ITSOL20250926RICAhttp://doi.org/10.1007/978-3-030-64552-6E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00282603BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-Book 9608 08eMF9608 20241113 Linear dynamical systems2831668UNICAMPANIA04382nam 22006975 450 991029999050332120220627185715.03-319-03164-310.1007/978-3-319-03164-4(CKB)3710000000143791(EBL)1782119(SSID)ssj0001278049(PQKBManifestationID)11757863(PQKBTitleCode)TC0001278049(PQKBWorkID)11278766(PQKB)10307440(DE-He213)978-3-319-03164-4(MiAaPQ)EBC6312135(MiAaPQ)EBC1782119(Au-PeEL)EBL1782119(CaPaEBR)ebr10965359(OCoLC)881681427(PPN)179765671(EXLCZ)99371000000014379120140610d2014 u| 0engur|n|---|||||txtccrText Analysis with R for Students of Literature /by Matthew L. Jockers1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (199 p.)Quantitative Methods in the Humanities and Social Sciences,2199-0956Includes index.3-319-03163-5 R Basics -- First Foray into Text Analysis with R -- Accessing and Comparing Word Frequency Data -- Token Distribution Analysis -- Correlation -- Measures of Lexical Variety -- Hapax Richness -- Do It KWIC -- Do It KWIC (Better) -- Text Quality, Text Variety, and Parsing XML -- Clustering -- Classification -- Topic Modeling -- Appendix A: Variable Scope Example -- Appendix B: The LDA Buffet -- Appendix C: Code Repository -- Appendix D: R Resources -- Practice Exercise Solutions -- Index.Text Analysis with R for Students of Literature is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological tool kit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that we simply cannot gather using traditional qualitative methods of close reading and human synthesis. Text Analysis with R for Students of Literature provides a practical introduction to computational text analysis using the open source programming language R. R is extremely popular throughout the sciences and because of its accessibility, R is now used increasingly in other research areas. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis at both the micro and macro scale. Each chapter builds on the previous as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each chapter concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying.Quantitative Methods in the Humanities and Social Sciences,2199-0956StatisticsComputational linguisticsR (Computer program language)Statistics and Computing/Statistics Programshttps://scigraph.springernature.com/ontologies/product-market-codes/S12008Computational Linguisticshttps://scigraph.springernature.com/ontologies/product-market-codes/N22000Statistics for Social Sciences, Humanities, Lawhttps://scigraph.springernature.com/ontologies/product-market-codes/S17040Statistics.Computational linguistics.R (Computer program language)Statistics and Computing/Statistics Programs.Computational Linguistics.Statistics for Social Sciences, Humanities, Law.006.35Jockers Matthew Lauthttp://id.loc.gov/vocabulary/relators/aut721648MiAaPQMiAaPQMiAaPQBOOK9910299990503321Text Analysis with R2351479UNINA