Title
Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN
Abstract
•A divide-and-conquer method classifying sentence types before sentiment analysis.•Classifying sentence types by the number of opinion targets a sentence contain.•A data-driven approach automatically extract features from input sentences.
Year
DOI
Venue
2017
10.1016/j.eswa.2016.10.065
Expert Systems with Applications
Keywords
Field
DocType
Natural language processing,Sentiment analysis,Deep neural network
Computer science,Sentiment analysis,Convolutional neural network,Speech recognition,Artificial intelligence,Natural language processing,Artificial neural network,Sentence,Benchmarking
Journal
Volume
Issue
ISSN
72
C
0957-4174
Citations 
PageRank 
References 
65
1.70
57
Authors
4
Name
Order
Citations
PageRank
Chen Tao11174.98
Xu Ruifeng243253.04
Yulan He31934123.88
Xuan Wang429157.12