LEADER 05559nam 22007335 450 001 9910484846603321 005 20250610110618.0 010 $a3-030-39643-6 024 7 $a10.1007/978-3-030-39643-5 035 $a(CKB)4100000010770891 035 $a(DE-He213)978-3-030-39643-5 035 $a(MiAaPQ)EBC6151522 035 $a(PPN)243227221 035 $a(MiAaPQ)EBC29092544 035 $a(EXLCZ)994100000010770891 100 $a20200330d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aText Analysis with R $eFor Students of Literature /$fby Matthew L. Jockers, Rosamond Thalken 205 $a2nd ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XXIV, 276 p. 33 illus., 12 illus. in color.) 225 1 $aQuantitative Methods in the Humanities and Social Sciences,$x2199-0956 311 08$a3-030-39642-8 327 $aPart I Microanalysis -- 1 R Basics -- 2 First Foray into Text Analysis with R -- 3 Accessing and Comparing Word Frequency Data -- 4 Token Distribution and Regular Expressions -- 5 Token Distribution Analysis by Chapter -- 6 Correlation -- 7 Measures of Lexical Variety -- 8 Hapax Richness -- 9 Do it KWIC -- 10 Do it KWIC(er) (And Better) -- Part II Metadata -- 11 Introduction to dplyr -- 12 Parsing TEI XML- 13 Parsing and Analyzing Hamlet -- 14 Sentiment Analysis -- Part III Macroanalysis -- 15 Clustering -- 16 Classification -- 17 Topic Modeling -- 18 Part of Speech Tagging and Named Entity Recognition -- Appendices -- Index -- List of Tables -- List of Figures. 330 $aNow in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other research areas. In this volume, readers immediately begin working with text, and each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale. Each chapter builds on its predecessor as readers move from small scale ?microanalysis? of single texts to large scale ?macroanalysis? of text corpora, and each concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book?s focus is on making the technical palatable and making the technical useful and immediately gratifying. Text Analysis with R is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological toolkit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that readers simply cannot gather using traditional qualitative methods of close reading and human synthesis. This new edition features two new chapters: one that introduces dplyr and tidyr in the context of parsing and analyzing dramatic texts to extract speaker and receiver data, and one on sentiment analysis using the syuzhet package. It is also filled with updated material in every chapter to integrate new developments in the field, current practices in R style, and the use of more efficient algorithms. 410 0$aQuantitative Methods in the Humanities and Social Sciences,$x2199-0956 606 $aStatistics 606 $aComputational linguistics 606 $aHumanities?Digital libraries 606 $aTechnology in literature 606 $aApplication software 606 $aR (Computer program language) 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aDigital Humanities$3https://scigraph.springernature.com/ontologies/product-market-codes/836000 606 $aLiterature and Technology/Media$3https://scigraph.springernature.com/ontologies/product-market-codes/827000 606 $aComputer Appl. in Arts and Humanities$3https://scigraph.springernature.com/ontologies/product-market-codes/I23036 615 0$aStatistics. 615 0$aComputational linguistics. 615 0$aHumanities?Digital libraries. 615 0$aTechnology in literature. 615 0$aApplication software. 615 0$aR (Computer program language) 615 14$aStatistics and Computing/Statistics Programs. 615 24$aComputational Linguistics. 615 24$aStatistics for Social Sciences, Humanities, Law. 615 24$aDigital Humanities. 615 24$aLiterature and Technology/Media. 615 24$aComputer Appl. in Arts and Humanities. 676 $a410.285 700 $aJockers$b Matthew L$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721648 702 $aThalken$b Rosamond$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484846603321 996 $aText Analysis with R$92351479 997 $aUNINA LEADER 02120nam0 22005173i 450 001 VAN00287011 005 20250417111849.78 017 70$2N$a9783642729058 100 $a20250217d1990 |0itac50 ba 101 $aeng 102 $aDE 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aMathematics of Ramsey theory$fJaroslav Ne?et?il, Vojtech Rodl (eds.) 210 $aBerlin$cSpringer-Verlag$d1990 215 $axiv, 269 p.$cill.$d24 cm 410 1$1001VAN00048656$12001 $aAlgorithms and combinatorics$1210 $aBerlin [etc.]$cSpringer$d1987-2018.$v5 500 1$3VAN00287010$aMathematics of Ramsey theory$978922 606 $a00B25$xProceedings of conferences of miscellaneous specific interest [MSC 2020]$3VANC020732$2MF 606 $a05-XX$xCombinatorics [MSC 2020]$3VANC019812$2MF 606 $a05A18$xPartitions of sets [MSC 2020]$3VANC033728$2MF 606 $a05C55$xGeneralized Ramsey theory [MSC 2020]$3VANC023629$2MF 606 $a05D10$xRamsey theory [MSC 2020]$3VANC021235$2MF 610 $aCombinatorics$9KW:K 610 $aComplexity$9KW:K 610 $aGraphs$9KW:K 610 $aPartition$9KW:K 610 $aProofs$9KW:K 610 $aRamsey theory$9KW:K 610 $aTopological spaces$9KW:K 610 $aTree$9KW:K 620 $dBerlin$3VANL000066 702 1$aNe?et?il$bJaroslav$3VANV039082$4340 702 1$aRödl$bVojt?ch$3VANV039083$4340 712 $aSpringer $3VANV108073$4650 790 1$aNe?et?il, J.$zNe?et?il, Jaroslav$3VANV261145 801 $aIT$bSOL$c20260403$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-642-72905-8$zE-book ? 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