Name: ABSA-Hotels
Description: Around 15,562 Hotels' reviews were thoroughly reviewed by this research authors and a subset of 2,291 reviews were selected. The original dataset has been collected from well known Hotels' booking websites such as Booking.com, TripAdvisor.com.
Provider: nan
Paper Title: SemEval-2016 Task 5: Aspect Based Sentiment Analysis
Tasks: review classification 
Venue Name: International Workshop on Semantic Evaluation
Authors: Maria Pontiki, Dimitrios Galanis, Haris Papageorgiou, Ion Androutsopoulos,Suresh Manandhar, Mohammad AL-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao,Bing Qin5, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki,Xavier Tannier, Natalia Loukachevitch, Evgeny Kotelnikov,Nuria Bel, Salud María Jiménez-Zafra, Gülşen Eryiğit
Abstract: 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.