Journal article | Zeitschriftenartikel
Opening up to big data: computer-assisted analysis of textual data in social sciences
"Two developments in computational text analysis may change the way qualitative data analysis in social sciences is performed: 1. the availability of digital text worth to investigate is growing rapidly, and 2. the improvement of algorithmic information extraction approaches, also called text mining, allows for further bridging the gap between qualitative and quantitative text analysis. The key factor hereby is the inclusion of context into computational linguistic models which extends conventional computational content analysis towards the extraction of meaning. To clarify methodological differences of various computer-assisted text analysis approaches the article suggests a typology from the perspective of a qualitative researcher. This typology shows compatibilities between manual qualitative data analysis methods and computational, rather quantitative approaches for large scale mixed method text analysis designs." (author's abstract)
- Weitere Titel
-
Computergestützte Analyse qualitativer Daten: wie sich die qualitative Sozialforschung für Massentextanalysen öffnet
- ISSN
-
0172-6404
- Umfang
-
Seite(n): 332-358
- Sprache
-
Englisch
- Anmerkungen
-
Status: Veröffentlichungsversion; begutachtet (peer reviewed)
- Erschienen in
-
Historical Social Research, 38(4)
- Thema
-
Sozialwissenschaften, Soziologie
Forschungsarten der Sozialforschung
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Daten
Analyse
qualitative Methode
Textanalyse
quantitative Methode
Methode
Analyseverfahren
Sozialforschung
Diskursanalyse
Datenverarbeitung
Datenqualität
Computer
anwendungsorientiert
deskriptive Studie
empirisch
empirisch-qualitativ
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Wiedemann, Gregor
- Ereignis
-
Veröffentlichung
- (wo)
-
Deutschland
- (wann)
-
2013
- DOI
- URN
-
urn:nbn:de:0168-ssoar-383445
- Rechteinformation
-
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
- Letzte Aktualisierung
-
21.06.2024, 16:26 MESZ
Datenpartner
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Objekttyp
- Zeitschriftenartikel
Beteiligte
- Wiedemann, Gregor
Entstanden
- 2013
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