Abstract
Topic priority assignment is defined in RepLab-2013 as labelling a topic according to its level of priority (alert, mildly important or unimportant) in order to highlight topics requiring immediate attention for online reputation monitoring. Although they are strongly linked, topic detection and priority assignment have been previously treated as separate tasks. We study the impact of integrating topic detection outputs in the process of topic priority assignment.
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References
Petrovic, S., Osborne, M., Lavrenko, V.: Streaming first story detection with application to Twitter. In: HLT-NACCL, pp. 181–189. ACL (2010)
Mathioudakis, M., Koudas, N.: TwitterMonitor: trend detection over the twitter stream. In: SIGMOD 2010, pp. 1155–1158. ACM (2010)
Sankaranarayanan, J., Samet, H., Teitler, B., Lieberman, M., Sperling, J.: TwitterStand: news in tweets. In: SIGSPATIAL-GIS, pp. 42–51. ACM (2009)
Atif Qureshi, M., O’Riordan, C., Pasi, G.: Concept Term Expansion Approach for Monitoring Reputation of Companies on Twitter. In: CLEF 2012 (2012)
Martin-Wanton, T., Spina, D., Amigo, E.: UNED at RepLab 2012: Monitoring Task. In: CLEF 2012 (2012)
Spina, D., Carrillo-de-Albornoz, J., Martin, T., Amigo, E., Gonzalo, J., Giner, F.: UNED Online Reputation Monitoring Team at RepLab 2013. In: CLEF 2013 (2013)
Sanchez-Sanchez, C., Jimenez-Salazar, H., Luna-Ramirez, W.: UAMCLyR at Replab2013: Monitoring Task. In: CLEF 2013 (2013)
Berrocal, J.-L., Figuerola, C., Rodriguez, A.: REINA at RepLab2013 Topic Detection Task. In: CLEF 2013 (2013)
Naaman, M., Becker, H., Gravano, L.: Hip and Trendy: Characterizing Emerging Trends on Twitter. Journal of the American Society for Information Science and Technology 62, 5 (2007)
Leisch, F.: A toolbox for k-centroids cluster analysis. In: Computational Statistics and Data Analysis (2006)
Hazen, T., Richardson, F., Margolis, A.: Topic identification from audio recordings using word and phone recognition lattices. In: ASRU, pp. 659–664. IEEE (2007)
Bonnefoy, L., Bouvier, V., Bellot, P.: A Weakly-Supervised Detection of Entity Central Documents in a Stream. In: SIGIR (2013)
Amigo, E., Gonzalo, J., Verdejo, F.: A general evaluation measure for document organization tasks. In: SIGIR, pp. 643–652. ACM (2013)
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Cossu, JV., Bigot, B., Bonnefoy, L., Senay, G. (2014). Towards the Improvement of Topic Priority Assignment Using Various Topic Detection Methods for E-reputation Monitoring on Twitter. In: Métais, E., Roche, M., Teisseire, M. (eds) Natural Language Processing and Information Systems. NLDB 2014. Lecture Notes in Computer Science, vol 8455. Springer, Cham. https://doi.org/10.1007/978-3-319-07983-7_20
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DOI: https://doi.org/10.1007/978-3-319-07983-7_20
Publisher Name: Springer, Cham
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