Overview of RepLab 2013: Evaluating Online Reputation Monitoring Systems

  • Enrique Amigó
  • Jorge Carrillo-de-Albornoz
  • Irina Chugur
  • Adolfo Corujo
  • Julio Gonzalo
  • Tamara Martín
  • Edgar Meij
  • Maarten de Rijke
  • Damiano Spina
Proceedings of the Fourth International Conference of the CLEF initiative, 2013

This paper summarizes the goals, organization and results of the second RepLab competitive evaluation campaign for Online Reputation Management Systems (RepLab 2013). RepLab focused on the process of monitoring the reputation of companies and individuals, and asked participant systems to annotate different types of information on tweets containing the names of several companies: first tweets had to be classified as related or unrelated to the entity; relevant tweets had to be classified according to their polarity for reputation (Does the content of the tweet have positive or negative implications for the reputation of the entity?), clustered in coherent topics, and clusters had to be ranked according to their priority (potential reputation problems had to come first). The gold standard consists of more than 140,000 tweets annotated by a group of trained annotators supervised and monitored by reputation experts.

  author = {Amig{\'o}, E. and {Carrillo-de-Albornoz}, J. and Chugur, I. 
                    and Corujo, A. and Gonzalo, J. and Mart{\'\i}n, T. and 
                    Meij, E. and de Rijke, M. and Spina, Damiano},
  booktitle = {CLEF '13},
  date-modified = {2013-10-14 05:30:24 +0000},
  pages = {333--352},
  publisher = {Springer},
  series = {LNCS},
  title = {{Overview of RepLab 2013}: {Evaluating} 
                     Online Reputation Monitoring Systems},
  year = {2013}
Damiano Spina