This paper addresses the need for text visualization systems that can support discourse analysis. While fruitful work has been undertaken exploring the paradigmatic axis in systemic functional linguistics, there is much scope for complementary modeling along the syntagmatic axis. However, in exploring long-range text patterns we face the problem that it is difficult for a human analyst to track complex and unfolding relationships in what is high-dimensional data. I introduce AppAnn, a system designed to support linguists in undertaking such long-range analysis and demonstrate how it can be used to visualize patterns of appraisal in texts.
About the author
Bandar Almutairi works in Qassim University, Saudi Arabia, and is currently doing a PhD on discourse semantics visualization under the supervision of J. R. Martin and Michele Zappavigna at the University of Sydney. He believes that the intriguing intricacies of discourse semantics data can be successfully discerned and more readily understood through information visualization techniques. His work aims to examine, using a set of specially designed visualization techniques, the dynamic creation of evaluative texture and the contribution of various combinations of discourse semantics choices to the argumentative structure of editorial and column articles. Address for correspondence: Department of Linguistics, Faculty of Arts and Social Sciences, University of Sydney, NSW 2006, Australia 〈email@example.com〉.
© by Walter de Gruyter Berlin Boston