Discursis: A Visual Text Analytic Method for the Analysis of Communication Data
Discursis is a new communication analytics technology that allows a user to analyse text based communication data, in the form of conversations, web forums, training scenarios, and many more.
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Time
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IMC meeting room (312), Nobelparken, building 1483, 3rd floor, 8000 Aarhus C
Organizer
Discursis: A Visual Text Analytic Method for the Analysis of Communication data
Discursis automatically processes transcribed text to show participant interactions around specific topics and over the time-course of the conversation. Discursis can assist practitioners in understanding the structure, information content, and inter-speaker relationships that are present within input data. Discursis also provides quantitative measures of key metrics, such as topic introduction; topic consistency; and topic novelty."
This talk will be of interest to people working and creatively grappling with qualitative methods, Big Text Data, computational social research methods, data visualisation, mixed methods analysis, discourse analysis, discursive psychology, narrative analysis and computational conversation analysis. There will be an opportunity for questions and reflection on how you might use this computational social research tool to inform aspects of your own research and the analysis of Big Text Data if applicable.
Dr Daniel Angus is a Lecturer with the University of Queensland who has spent the last three years working on a large interdisciplinary ARC project called Thinking Systems.
Dr Angus’s research explores how conceptual information is processed and stored by mammals to inspire the development of conceptual mapping tools. An outcome of this research is the Discursis text analytic tool which is a useful way to visualise and obtain metrics from conversation transcripts.