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Genre analysis of structured e-mails for corpus profiling.

Clark, Malcolm; Ruthven, Ian; Holt, Patrik O'Brian

Authors

Malcolm Clark

Ian Ruthven

Patrik O'Brian Holt



Contributors

Anne De Roeck
Editor

Dawei Song
Editor

Udo Kruschwitz
Editor

Abstract

This paper reports on our approach to the analysis of genre recognition using eyetracking. We focused on a collection of different types of email which could represent different datasets, such as, mailing lists for calls for papers, newsletters, etc. We found that genre analysis based on purpose, form and layout features is potentially effective for identifying the characteristics of these datasets and we have highlighted some of the new important features of genres. The results from a pilot study showed a clear effect, with an interaction between the email texts and the visual cues or features perceived and also the strategies employed for the processing of the texts. We found, in our small sample, that readers can determine the purpose and form of genres and that during this process some readers do skim the shape of the e-mails (form).

Citation

CLARK, M., RUTHVEN, I. and O'BRIAN HOLT, P. 2008. Genre analysis of structured e-mails for corpus profiling. In De Roeck, A., Song, D. and Kruschwitz, U. (eds.) Proceedings of the Workshop on corpus profiling for information retrieval and natural language profiling, 18 October 2008, London, UK. London: BCS [online]. Available from: https://ewic.bcs.org/content/ConWebDoc/26114

Presentation Conference Type Conference Paper (published)
Conference Name Workshop on corpus profiling for information retrieval and natural language profiling
Start Date Oct 18, 2008
Acceptance Date Oct 31, 2008
Online Publication Date Oct 31, 2008
Publication Date Dec 31, 2008
Deposit Date Mar 18, 2015
Publicly Available Date Mar 18, 2015
Electronic ISSN 1477-9358
Publisher BCS, The Chartered Institute for IT
Peer Reviewed Peer Reviewed
Series Title Electronic workshops in computing
Keywords Genre; Perception; Eye tracking; Ecological; Affordances; Constructivist; Email; Corpus; Profiling; Datasets
Public URL http://hdl.handle.net/10059/1167
Publisher URL https://ewic.bcs.org/content/ConWebDoc/26114
Contract Date Mar 18, 2015

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