Abstract
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.
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Acknowledgments
This research was partially supported by the Spanish Ministry of Science and Innovation (VoxPopuli Project, TIN2013-47090-C3-1-P) and UNED (project 2014V/PUNED/0011).
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Carrillo-de-Albornoz, J., Amigó, E., Plaza, L., Gonzalo, J. (2016). Tweet Stream Summarization for Online Reputation Management. In: Ferro, N., et al. Advances in Information Retrieval. ECIR 2016. Lecture Notes in Computer Science(), vol 9626. Springer, Cham. https://doi.org/10.1007/978-3-319-30671-1_28
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DOI: https://doi.org/10.1007/978-3-319-30671-1_28
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