ORMA: A Semi-Automatic Tool for Online Reputation Monitoring in Twitter

  • Jorge Carrillo-de-Albornoz
  • Enrique Amigó
  • Damiano Spina
  • Julio Gonzalo
Proceedings of the European Conference on Information Retrieval (ECIR), 2014

We present a semi-automatic tool that assists experts in their daily work of monitoring the reputation of entities---companies, organizations or public figures---in Twitter. The tool automatically annotates tweets for relevance (Is the tweet about the entity?), reputational polarity (Does the tweet convey positive or negative implications for the reputation of the entity?), groups tweets in topics and display topics in decreasing order of relevance from a reputational perspective. The interface helps the user to understand the content being analyzed and also to produce a manually annotated version of the data starting from the output of the automatic annotation processes. A demo is available at: http://nlp.uned.es/orma/

  author    = {Jorge Carrillo de Albornoz and
               Enrique Amig{\'{o}} and
               Damiano Spina and
               Julio Gonzalo},
  title     = {{ORMA:} {A} Semi-automatic Tool for Online Reputation Monitoring in
  booktitle = {Advances in Information Retrieval - 36th European Conference on {IR}
               Research, {ECIR} 2014, Amsterdam, The Netherlands, April 13-16, 2014.
  year      = {2014},
  pages     = {742--745},
  url       = {http://dx.doi.org/10.1007/978-3-319-06028-6_86},
  doi       = {10.1007/978-3-319-06028-6_86}


Damiano Spina