The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Making sense of big text: a visual-first approach for analysing text data using Leximancer and Discursis
Abstract
This article reports on Leximancer and Discursis, two visual text analytic software tools developed at the University of Queensland. Both analyse spatial and temporal relationships in text data, but in complementary ways: Leximancer focuses on thematic analysis, while Discursis focuses on sequential analysis. Our report explains how they work, how to work with them and how visual concepts are relevant to all stages of their use in analytic decision-making.
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Cites
The Discovery of Grounded Theory; Strategies for Qualitative Research
Glaser, B. G., Strauss, A. L., & Strutzel, E. (1968) · Nursing Research · doi:10.1097/00006199-196807000-00014 · Cited by 39,449
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Metadata
- Authors
- Angus, D., Rintel, S., & Wiles, J.
- Venue
- International Journal of Social Research Methodology
- Publisher
- Informa UK Limited
- Published
- 2013-05
- Volume
- 16
- Issue
- 3
- Pages
- 261-267
- ISSN
- 1364-5579 (ISSN-L)
- 1464-5300
- OpenAlex
- W1993912188
- Cited by
- 199
- References
- 1
- FWCI
- 45.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
