ABSA-Hotels
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.
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SemEval-2016 Task 5: Aspect Based Sentiment Analysis
review classification 
International Workshop on Semantic Evaluation
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
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.