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Opening up to big data : computer-assisted analysis of textual data in social sciences

Computergestützte Analyse qualitativer Daten : wie sich die qualitative Sozialforschung für Massentextanalysen öffnet
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Wiedemann, Gregor

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Abstract "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)
Keywords data; analysis; qualitative method; text analysis; quantitative method; method; analysis procedure; social research; discourse analysis; data processing; data quality; computer
Classification Research Design; Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Method applied research; descriptive study; empirical; qualitative empirical
Free Keywords text mining; computer-assisted text analysis; CAQDAS; mixed methods; corpus linguistics; lexicometrics; digital humanities; eHumanities
Document language English
Publication Year 2013
Page/Pages p. 332-358
Journal Historical Social Research, 38 (2013) 4
ISSN 0172-6404
Status Published Version; peer reviewed
Licence Creative Commons - Attribution-Noncommercial-No Derivative Works