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Text analysis with R for students of...

Jockers, Matthew Lee, (1966-)

Text analysis with R for students of literature /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Text analysis with R for students of literature /Matthew L. Jockers.
作者:	Jockers, Matthew Lee,
出版者:	Cham ;Springer-Verlag,c2014.
面頁冊數:	xvi, 194 p. :ill. (some col.) ;25 cm.
標題:	Text processing (Computer science)
ISBN:	9783319031637 :

Text analysis with R for students of literature /
Jockers, Matthew Lee,1966-

Text analysis with R for students of literature /Matthew L. Jockers. - Cham ;Springer-Verlag,c2014. - xvi, 194 p. :ill. (some col.) ;25 cm. - Quantitative methods in the humanities and social sciences. - Quantitative methods in the humanities and social sciences..

Includes bibliographical references and index.

Part. 1. R Basics -- First Foray into Text Analysis with R -- Accessing and Comparing Word Frequency Data -- Token Distribution Analysis -- Correlation Part 2. Mesoanalysis -- Measures of Lexical Variety -- Hapax Richness -- Do It KWIC -- Do It KWIC (Better) -- Text Quality, Text Variety, and Parsing XML -- Part 3. Macroanalysis -- Clustering -- Classification -- Topic Modeling -- Appendix A: Variable Scope Example -- Appendix B: The LDA Buffet -- Appendix C: Start up Code -- Appendix D: R Resources for Further Reading -- Practice Exercise Solutions -- Index.

ISBN: 9783319031637 :NT$1195

Nat. Bib. Agency Control No.: 016727769UkSubjects--Topical Terms:

210527
Text processing (Computer science)

LC Class. No.: QA76.9.T48 / J63 2014

Dewey Class. No.: 519.502855133

Text analysis with R for students of literature /
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020 $z 9783319031644 (electronic bk.)
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050 1 4 $a P302 $b .J63 2014
082 0 4 $a 519.502855133 $2 23
082 4 $a 401.4 $b 23
100 1 $a Jockers, Matthew Lee, $d 1966- $3 765722
245 1 0 $a Text analysis with R for students of literature / $c Matthew L. Jockers.
260 $a Cham ; $a New York : $b Springer-Verlag, $c c2014.
300 $a xvi, 194 p. : $b ill. (some col.) ; $c 25 cm.
490 1 $a Quantitative methods in the humanities and social sciences
504 $a Includes bibliographical references and index.
505 0 $a Part. 1. R Basics -- First Foray into Text Analysis with R -- Accessing and Comparing Word Frequency Data -- Token Distribution Analysis -- Correlation Part 2. Mesoanalysis -- Measures of Lexical Variety -- Hapax Richness -- Do It KWIC -- Do It KWIC (Better) -- Text Quality, Text Variety, and Parsing XML -- Part 3. Macroanalysis -- Clustering -- Classification -- Topic Modeling -- Appendix A: Variable Scope Example -- Appendix B: The LDA Buffet -- Appendix C: Start up Code -- Appendix D: R Resources for Further Reading -- Practice Exercise Solutions -- Index.
650 0 $a Text processing (Computer science) $3 210527
650 0 $a Computational linguistics. $3 181250
650 0 $a R (Computer program language) $3 210846
650 0 $a Discourse analysis. $3 176950
830 0 $a Quantitative methods in the humanities and social sciences. $3 683273