SemEval-2016 Task 5: Aspect Based Sentiment Analysis

Maria Pontiki , Dimitrios Galanis , Haris Papageorgiou , Ion Androutsopoulos , Suresh Manandhar , Mohammad Al-Smadi , Mahmoud Al-Ayyoub , Yanyan Zhao , Bing Qin , Orphée de Clercq , Véronique Hoste , Marianna Apidianaki (1) , Xavier Tannier (1) , Natalia Loukachevitch , Evgeny Kotelnikov , Nuria Bel , Salud María Jiménez-Zafra , Gülşen Eryiğit

1 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur

This paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015. In its third year, the task provided 19 training and 20 testing datasets for 8 languages and 7 domains, as well as a common evaluation procedure. From these datasets, 25 were for sentence-level and 14 for text-level ABSA; the latter was introduced for the first time as a subtask in SemEval. The task attracted 245 submissions from 29 teams.

Domaines: Informatique [cs]; Informatique et langage [cs.CL]

Maria Pontiki, Dimitrios Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, et al.. SemEval-2016 Task 5: Aspect Based Sentiment Analysis. International Workshop on Semantic Evaluation, Jan 2016, San Diego, United States. pp.19 - 30, ⟨10.18653/v1/S16-1002⟩. ⟨hal-01838537⟩