Abstract
However, at present only basic visualisation methods are utilised. In this paper, we describe case studies of multiple types of key word clouds, explorer tools for collocation networks, and compare network and language distance visualisations for online social networks. These are shown to fit better with the iterative data-driven corpus methodology, and permit some level of scalability to cope with ever increasing corpus size and complexity. In addition, they will allow corpus linguistic methods to be used more widely in the digital humanities and social sciences since the learning curve with visualisations is shallower for non-experts
| Original language | English |
|---|---|
| Pages (from-to) | 27-49 |
| Number of pages | 23 |
| Journal | Journal for Language Technology and Computational Linguistics |
| Volume | 31 |
| Issue number | 1 |
| Early online date | 12/05/2017 |
| Publication status | Published - 2017 |
Projects
- 1 Finished
-
ESRC centre for Corpus Approaches to Social Science - CASS
Semino, E. (Principal Investigator), Cain, K. (Co-Investigator), Culpeper, J. (Co-Investigator), Culpeper, J. (Co-Investigator), Culpeper, J. (Co-Investigator), Diggle, P. (Co-Investigator), Gregory, I. (Co-Investigator), Hardie, A. (Co-Investigator), Iganski, P. (Co-Investigator), Iganski, P. (Co-Investigator), Ram-Prasad, C. (Co-Investigator), Rayson, P. (Co-Investigator), Urry, J. (Co-Investigator), Germond, B. (Researcher), Baker, P. (Principal Investigator), Young, S. (Co-Investigator), Dunn, N. (Co-Investigator), Berridge, D. (Co-Investigator), McEnery, T. (Co-Investigator), McEnery, T. (Co-Investigator) & Baker, P. (Co-Investigator)
31/03/13 → 30/03/18
Project: Research
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