Title
Weighted aspect-based opinion mining using deep learning for recommender system.
Abstract
•Deep learning-based aspect extraction model for building recommender system.•Exploiting wordembedding and POS tag embedding for aspect extraction.•Using LDA and lexicon-based method to generate aspect-based ratings.•Integration of the aspect ratings into tensor factorization technique for rating prediction.
Year
DOI
Venue
2020
10.1016/j.eswa.2019.112871
Expert Systems with Applications
Keywords
Field
DocType
Aspect-based opinion mining,Convolutional neural network,Deep learning,Collaborative filtering,Recommender system,Rating prediction
Recommender system,Data mining,Collaborative filtering,Computer science,Sentiment analysis,Baseline (configuration management),Artificial intelligence,Deep learning,Tensor factorization,Fuse (electrical),Machine learning
Journal
Volume
ISSN
Citations 
140
0957-4174
1
PageRank 
References 
Authors
0.35
0
4
Name
Order
Citations
PageRank
Aminu Da'u1112.64
Naomie Salim242448.23
Idris Rabiu351.82
Akram Osman410.35