How to sort out uncategorisable documents for interpretive social science? On limits of currently employed text mining techniques

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dc.identifier.uri http://dx.doi.org/10.15488/5182
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/5229
dc.contributor.author Philipps, Axel
dc.date.accessioned 2019-08-15T09:06:59Z
dc.date.available 2019-08-15T09:06:59Z
dc.date.issued 2018
dc.identifier.citation Philipps, Axel: How to sort out uncategorisable documents for interpretive social science? On limits of currently employed text mining techniques. In: Proceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA) 2018, S. 19-27. DOI: https://doi.org/10.4995/carma2018.2018.8301
dc.description.abstract Current text mining applications statistically work on the basis of linguistic models and theories and certain parameter settings. This enables researchers to classify, group and rank a large textual corpus – a useful feature for scholars who study all forms of written text. However, these underlying conditions differ in respect to the way how interpretively-oriented social scientists approach textual data. They aim to understand the meaning of text by heuristically using known categorisations, concepts and other formal methods. More importantly, they are primarily interested in documents that are incomprehensible with our current knowledge because these  documents offer a chance to formulate new empirically-grounded typifications, hypotheses, and theories. In this paper, therefore, I propose for a text mining technique with different aims and procedures. It includes a shift away from methods of grouping and clustering the whole text corpus to a process that sorts out uncategorisable documents. Such an approach will be demonstrated using a simple example. While more elaborate text mining techniques might become tools for more complex tasks, the given example just presents the essence of a possible working principle. As such, it supports social inquiries that search for and examine unfamiliar patterns and regularities. eng
dc.language.iso eng
dc.publisher València : Universitat Politècnica València
dc.relation.ispartof 2nd International Conference on Advanced Research Methods and Analytics (CARMA2018), July 12 – 13, 2018 · Valencia, Spain
dc.relation.ispartofseries Proceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018) 2018 (2018)
dc.rights CC BY-NC-ND 4.0
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Qualitative research eng
dc.subject Data science eng
dc.subject Computer science eng
dc.subject Text mining eng
dc.subject Big data eng
dc.subject sort eng
dc.subject.ddc 300 | Sozialwissenschaften, Soziologie, Anthropologie ger
dc.title How to sort out uncategorisable documents for interpretive social science? On limits of currently employed text mining techniques
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.isbn 978-84-9048-689-
dc.relation.doi https://doi.org/10.4995/carma2018.2018.8301
dc.bibliographicCitation.volume 2018
dc.bibliographicCitation.firstPage 19
dc.bibliographicCitation.lastPage 27
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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