Text Analysis for the Social Sciences

Text Analysis for the Social Sciences
Author :
Publisher : Routledge
Total Pages : 299
Release :
ISBN-10 : 9781000149241
ISBN-13 : 1000149242
Rating : 4/5 (41 Downloads)

Book Synopsis Text Analysis for the Social Sciences by : Carl W. Roberts

Download or read book Text Analysis for the Social Sciences written by Carl W. Roberts and published by Routledge. This book was released on 2020-07-24 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides descriptions and illustrations of cutting-edge text analysis methods for communication and marketing research; cultural, historical-comparative, and event analysis; curriculum evaluation; psychological diagnosis; language development research; and for any research in which statistical inferences are drawn from samples of texts. Although the book is accessible to readers having no experience with content analysis, the text analysis expert will find substantial new material in its pages. In particular, this collection describes developments in semantic and network text analysis methodologies that heretofore have been accessible only among a smattering of methodology journals. The book's international and cross-disciplinary content illustrates the breadth of quantitative text analysis applications. These applications demonstrate the methods' utility for international research, as well as for practitioners from the fields of sociology, political science, journalism/communication, computer science, marketing, education, and English. This is an "ecumenical" collection that contains applications not only of the most recent semantic and network text analysis methods, but also of the more traditional thematic method of text analysis. In fact, it is originally with this volume that these two "relational" approaches to text analysis are defined and contrasted with more traditional "thematic" text analysis methods. The emphasis here is on application. The book's chapters provide guidance regarding the sorts of inferences that each method affords, and up-to-date descriptions of the human and technological resources required to apply the methods. Its purpose is as a resource for making quantitative text analysis methods more accessible to social science researchers.


Text Analysis for the Social Sciences Related Books

Text Analysis for the Social Sciences
Language: en
Pages: 299
Authors: Carl W. Roberts
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2020-07-24 - Publisher: Routledge

DOWNLOAD EBOOK

This book provides descriptions and illustrations of cutting-edge text analysis methods for communication and marketing research; cultural, historical-comparati
Text Analysis with R
Language: en
Pages: 277
Authors: Matthew L. Jockers
Categories: Computers
Type: BOOK - Published: 2020-03-30 - Publisher: Springer Nature

DOWNLOAD EBOOK

Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R
Text Mining for Qualitative Data Analysis in the Social Sciences
Language: en
Pages: 294
Authors: Gregor Wiedemann
Categories: Social Science
Type: BOOK - Published: 2016-08-23 - Publisher: Springer

DOWNLOAD EBOOK

Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systemati
Text Mining
Language: en
Pages: 189
Authors: Gabe Ignatow
Categories: Social Science
Type: BOOK - Published: 2016-04-20 - Publisher: SAGE Publications

DOWNLOAD EBOOK

Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and
Text Analysis in Python for Social Scientists
Language: en
Pages: 102
Authors: Dirk Hovy
Categories: Political Science
Type: BOOK - Published: 2022-03-17 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Text contains a wealth of information about about a wide variety of sociocultural constructs. Automated prediction methods can infer these quantities (sentiment