article · Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) · 2013
Opening Up to Big Data : Computer-Assisted Analysis of Textual Data in Social Sciences
Cited by 119Open access
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. URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs1302231
Cite this paper
Wiedemann, G. (2013). Opening Up to Big Data : Computer-Assisted Analysis of Textual Data in Social Sciences. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). https://doi.org/10.12759/hsr.38.2013.4.332-358
Wiedemann, Gregor. “Opening Up to Big Data : Computer-Assisted Analysis of Textual Data in Social Sciences.” Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences), 2013, https://doi.org/10.12759/hsr.38.2013.4.332-358.
Wiedemann, Gregor. 2013. “Opening Up to Big Data : Computer-Assisted Analysis of Textual Data in Social Sciences.” Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). https://doi.org/10.12759/hsr.38.2013.4.332-358.
Wiedemann, G. (2013) ‘Opening Up to Big Data : Computer-Assisted Analysis of Textual Data in Social Sciences’, Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). Available at: https://doi.org/10.12759/hsr.38.2013.4.332-358.
@article{wiedemann2013opening,
title = {{Opening Up to Big Data : Computer-Assisted Analysis of Textual Data in Social Sciences}},
author = {Wiedemann, Gregor},
journal = {Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)},
year = {2013},
doi = {10.12759/hsr.38.2013.4.332-358}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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