From Text to Political Positions

Text analysis across disciplines

ORCID logoBertie Kaal | VU University Amsterdam
Isa Maks | VU University Amsterdam
Annemarie van Elfrinkhof | VU University Amsterdam
ISBN 9789027206466 | EUR 99.00 | USD 149.00
ISBN 9789027270344 | EUR 99.00 | USD 149.00
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From Text to Political Positions addresses cross-disciplinary innovation in political text analysis for party positioning. Drawing on political science, computational methods and discourse analysis, it presents a diverse collection of analytical models including pure quantitative and qualitative approaches. By bringing together the prevailing text-analysis methods from each discipline the volume aims to alert researchers to new and exciting possibilities of text analyses across their own disciplinary boundary.
The volume builds on the fact that each of the disciplines has a common interest in extracting information from political texts. The focus on political texts thus facilitates interdisciplinary cross-overs. The volume also includes chapters combining methods as examples of cross-disciplinary endeavours. These chapters present an open discussion of the constraints and (dis)advantages of either quantitative or qualitative methods when evaluating the possibilities of combining analytic tools.
Publishing status: Available
Table of Contents
From Text to Political Positions is a timely addition to the literature on estimating parties’ positions. The novel perspective of this highly readable volume can serve as a guide for applied researchers who do not wish to remain entrenched within disciplinary traditions.”
“This important volume of essays adds significantly to the growing interest in textual and discourse analysis in the field of politics and party positioning. Not only does it address the pressing question of research methodology, choosing to combine qualitative and quantitative techniques and approaches in a cross-disciplinary matrix, but the internationally renowned contributors also endeavour to provide normative and critical orientations to back up their original theoretical and empirical analyses.”
“This volume is a valuable contribution to political text analysis, as well as computational linguistics and discourse analysis, which enriches developments in relevant fields and gives readers much inspirations and references.”
Cited by

Cited by 8 other publications

Abercrombie, Gavin & Riza Batista-Navarro
2020. Sentiment and position-taking analysis of parliamentary debates: a systematic literature review. Journal of Computational Social Science 3:1  pp. 245 ff. DOI logo
Campos, Ricardo, Adam Jatowt & Alípio Jorge
2023. Text Mining and Visualization of Political Party Programs Using Keyword Extraction Methods: The Case of Portuguese Legislative Elections. In Information for a Better World: Normality, Virtuality, Physicality, Inclusivity [Lecture Notes in Computer Science, 13971],  pp. 340 ff. DOI logo
Lettieri, Nicola
2016. Computational Social Science, the Evolution of Policy Design and Rule Making in Smart Societies. Future Internet 8:2  pp. 19 ff. DOI logo
Mayaffre, Damon & Ronny Scholz
2017. Constructing ‘the French people’ – On Sarkozy’s populism. Journal of Language and Politics 16:5  pp. 683 ff. DOI logo
Dr Tanweer Ali & Pühringer, Stephan
2015. Markets as “ultimate judges” of economic policies: Angela Merkel’s discourse profile during the economic crisis and the European crisis policies. On the Horizon 23:3  pp. 246 ff. DOI logo
Whipple, Kelsey N. & Jeremy L. Shermak
2020. The Enemy of My Enemy Is My Tweet: How #NotTheEnemy Twitter Discourse Defended the Journalistic Paradigm. Journalism & Mass Communication Quarterly 97:1  pp. 188 ff. DOI logo
[no author supplied]

This list is based on CrossRef data as of 12 june 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.


Communication Studies

Communication Studies

Main BIC Subject

CFG: Semantics, Pragmatics, Discourse Analysis

Main BISAC Subject

LAN009000: LANGUAGE ARTS & DISCIPLINES / Linguistics / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2014004430 | Marc record