Producing online reputation reports for an entity (company, brand, etc.) is a focused summarization task with a distinctive feature: issues that may affect the reputation of the entity take priority in the summary. In this paper we (i) propose a novel methodology to evaluate summaries in the context of online reputation which profits from an analogy between reputation reports and the problem of diversity in search; and (ii) provide empirical evidence that incorporating priority signals may benefit this summarization task.
CITATION STYLE
Carrillo-De-Albornoz, J., Amigó, E., Plaza, L., & Gonzalo, J. (2016). Tweet stream summarization for online reputation management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9626, pp. 378–389). Springer Verlag. https://doi.org/10.1007/978-3-319-30671-1_28
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