Title
Aspect terms grouping via fusing concepts and context information
Abstract
•A class of concept feature for aspect terms grouping task is proposed.•It uses location-base attentional context for the task for the first time.•A gate-based feature fusion neural network is developed.•An experimental studies on four datasets demonstrate the effectiveness of the model.
Year
DOI
Venue
2020
10.1016/j.inffus.2020.06.007
Information Fusion
Keywords
DocType
Volume
Aspect grouping,Sentiment analysis,Text feature fusion,Deep learning
Journal
64
ISSN
Citations 
PageRank 
1566-2535
1
0.35
References 
Authors
0
6
Name
Order
Citations
PageRank
Shufeng Xiong1283.80
Ming Cheng2488.95
Vishwash Batra310.35
Qian Tao45914.00
Bingkun Wang510.35
Yangdong Ye611829.64