What is it about?
We demonstrate the potential of text-mining tools for text analysis that approaches inductive but still formal in-depth analysis. We propose that a combination of text-mining tools addressing different layers of meaning facilitates a closer analysis of the dynamics of manifest and latent meanings than is currently acknowledged. To illustrate our approach, we combine grammatical parsing and topic modeling to operationalize communication structures within sentences and the semantic surroundings of these communication structures.
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Perspectives
Social scientists have recently started discussing the utilization of text-mining tools as being fruitful for scaling inductively grounded close reading. We aim to progress in this direction and provide a contemporary contribution to the literature.
Philipp Poschmann
Friedrich-Schiller-Universitat Jena
Read the Original
This page is a summary of: Analyzing Meaning in Big Data: Performing a Map Analysis Using Grammatical Parsing and Topic Modeling, Sociological Methodology, June 2019, SAGE Publications,
DOI: 10.1177/0081175019852762.
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