Chapter 9 Coding Text Data
Chapter in the book
Publisher:Mercury Learning and Information
Paid access
|May 2021
Table of contents
Frontmatter
Contents
Preface
Chapter 1 Framing Analytical Questions
Chapter 2 Analytical Tool Sets
Chapter 3 Text Data Sources and Formats
Chapter 4 Preparing the Data File
Chapter 5 Word Frequency Analysis
Chapter 6 Keyword Analysis
Chapter 7 Sentiment Analysis
Chapter 8 Visualizing Text Data
Chapter 9 Coding Text Data
Chapter 10 Named Entity Recognition
Chapter 11 Topic Recognition in Documents
Chapter 12 Text Similarity Scoring
Chapter 13 Analysis of Large Datasets by Sampling
Chapter 14 Installing R and RStudio
Chapter 15 Installing the Entity Extraction Tool
Chapter 16 Installing the Topic Modeling Tool
Chapter 17 Installing the Voyant Text Analysis Tool
Index
21 chapters available
PDF preview is not available for this content.
PDF ISBN: 978-1-68392-665-8 | E-Pub ISBN: 978-1-68392-664-1 | Paperback ISBN: 978-1-68392-666-5 | DOI: 10.1515/9781683926658
Publisher: Mercury Learning and Information
Copyright owner: © 2021 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2021
Language: English
Pages: 318