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Predicting emotional reaction in social networks. (2017)
Conference Proceeding
CLOS, J., BANDHAKAVI, A., WIRATUNGA, N. and CABANAC, G. 2017. Predicting emotional reaction in social networks. In Jose, J.M., Hauff, C., Altingovde, I.S., Song, D., Albakour, D., Watt, S. and Tait, J. (eds.) Advances in information retrieval: proceedings of the 39th European conference on information retrieval (ECIR 2017), 8-13 April 2017, Aberdeen, UK. Lecture notes in computer science, 10193. Cham: Springer [online], pages 527-533. Available from: https://doi.org/10.1007/978-3-319-56608-5_44

Online content has shifted from static and document-oriented to dynamic and discussion-oriented, leading users to spend an increasing amount of time navigating online discussions in order to participate in their social network. Recent work on emotion... Read More about Predicting emotional reaction in social networks..

Genre analysis of structured e-mails for corpus profiling. (2008)
Conference Proceeding
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

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.... Read More about Genre analysis of structured e-mails for corpus profiling..