Mapping texts: computational text analysis for the social sciences
Mapping Texts is the first introduction to computational text analysis that simultaneously blends conceptual treatments with practical, hands-on examples that walk the reader through how to conduct text analysis projects with real data. The book shows how to conduct text analysis in the R statistica...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Oxford University Press
2024
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| Schriftenreihe: | Computational social science series
|
| Online-Zugang: | FWS01 FWS02 URL des Erstveröffentlichers |
| Zusammenfassung: | Mapping Texts is the first introduction to computational text analysis that simultaneously blends conceptual treatments with practical, hands-on examples that walk the reader through how to conduct text analysis projects with real data. The book shows how to conduct text analysis in the R statistical computing environment--a popular programming language in data science. Cover -- Advance Praise for Mapping Texts -- Mapping Texts: Computational Text Analysis for the Social Sciences -- Copyright -- Dediaction -- Contents -- Preface -- What You Will Learn -- What We Left Out -- Acknowledgments -- Part I: Bounding Texts -- 1: Text in Context -- What Is Language? -- What Is Text? -- 2: Corpus Building -- Texts Are Not People -- Balance, Range, and Representativeness -- Text Metadata -- Authors and Audiences -- Time and Location -- Domains and Media -- Text Data -- Languages and Dialects -- Genres and Topics -- Registers and Styles -- Redrawing Boundaries -- Part II: Prerequisites -- 3: Computing Basics -- Brass Tacks -- Coding Environments -- Data Objects, Types, and Structures -- Dialects of R -- Control Processes: Functions, Loops, and Apply -- Installing and Loading Packages -- Using Python in R -- Data Visualization -- Where to from Here -- 4: Math Basics -- The Fundamentals -- Comparing Vectors -- Dot Product -- Euclidean Distance and Cosine Similarity -- Correlation -- Regression -- Comparing Distributions -- Central Tendency -- Dispersion -- Types of Distributions -- Our Dear Friend, the Matrix -- Matrix Projection -- Vector Spaces and Singular Value Decomposition -- Graphs and Matrix Projection -- A Little Math Goes a Long Way -- Part III: Foundations -- 5: Acquiring Text -- Public Text Datasets -- Optical Character Recognition -- Automated Audio Transcription -- Application Programming Interfaces (APIs) -- Automated Web Scraping -- Legal and Ethical Side of Scraping -- Terms of Service -- Intellectual Property -- Individual and Organizational Privacy -- 6: From Text to Numbers -- Units of Analysis -- Tokenizing -- Chunking -- Document Features -- Sparsity -- Dedicated DTM Functions -- Token Distributions -- Zipf's Law and Herdan-heaps' Law -- Weighting and Norming -- Relative Term Frequency. |
| Beschreibung: | Informationen teilweise von Landing Page übernommen oder ermittelt, da Titelseite fehlt |
| Beschreibung: | 1 Online-Ressource (326 Seiten) |
| ISBN: | 9780197756911 |
| DOI: | 10.1093/oso/9780197756874.001.0001 |
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| 520 | 3 | |a Mapping Texts is the first introduction to computational text analysis that simultaneously blends conceptual treatments with practical, hands-on examples that walk the reader through how to conduct text analysis projects with real data. The book shows how to conduct text analysis in the R statistical computing environment--a popular programming language in data science. | |
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| id | DE-604.BV049516689 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:24:07Z |
| indexdate | 2024-08-01T11:07:37Z |
| institution | BVB |
| isbn | 9780197756911 |
| language | English |
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| physical | 1 Online-Ressource (326 Seiten) |
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| publisher | Oxford University Press |
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| series2 | Computational social science series |
| spellingShingle | Stoltz, Dustin S. Taylor, Marshall A. Mapping texts computational text analysis for the social sciences |
| title | Mapping texts computational text analysis for the social sciences |
| title_auth | Mapping texts computational text analysis for the social sciences |
| title_exact_search | Mapping texts computational text analysis for the social sciences |
| title_exact_search_txtP | Mapping texts computational text analysis for the social sciences |
| title_full | Mapping texts computational text analysis for the social sciences |
| title_fullStr | Mapping texts computational text analysis for the social sciences |
| title_full_unstemmed | Mapping texts computational text analysis for the social sciences |
| title_short | Mapping texts |
| title_sort | mapping texts computational text analysis for the social sciences |
| title_sub | computational text analysis for the social sciences |
| url | https://doi.org/10.1093/oso/9780197756874.001.0001 |
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