Paula Carvalho, Luís Sarmento, Jorge Teixeira, Mário Silva (2011). “Liars and Saviors in SentiCorpus-PT09: A sentiment annotated corpus of user comments to political debates”, in the Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp 564-568. June 19-24, 2011. Portland, Oregon, USA.
Abstract: We investigate the expression of opinions about human entities in user-generated con- tent (UGC). A set of 2,800 online news comments (8,000 sentences) was manually annotated, following a rich annotation scheme designed for this purpose. We con- clude that the challenge in performing opi- nion mining in such type of content is correctly identifying the positive opinions, because (i) they are much less frequent than negative opinions and (ii) they are par- ticularly exposed to verbal irony. We also show that the recognition of human targets poses additional challenges on mining opi- nions from UGC, since they are frequently mentioned by pronouns, definite descrip- tions and nicknames.