Title
SemEval-2016 Task 5: Aspect Based Sentiment Analysis.
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.
Year
Venue
Field
2016
SemEval@NAACL-HLT
SemEval,Sentiment analysis,Computer science,Continuation,Artificial intelligence,Natural language processing
DocType
Citations 
PageRank 
Conference
71
1.97
References 
Authors
10
18