Improving Sentiment Classification of Restaurant Reviews with Attention-Based Bi-GRU Neural Network
In the era of Web 2.0, there is a huge amount of user-generated content, but the huge amount of unstructured data makes it difficult for merchants to provide personalized services and for users to extract information efficiently, so it is necessary to perform sentiment analysis for restaurant review...
Main Authors: | Liangqiang Li, Liang Yang, Yuyang Zeng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/13/8/1517 |
Similar Items
-
Bi-GRU Sentiment Classification for Chinese Based on Grammar Rules and BERT
by: Qiang Lu, et al.
Published: (2020-05-01) -
Tourism Review Sentiment Classification Using a Bidirectional Recurrent Neural Network with an Attention Mechanism and Topic-Enriched Word Vectors
by: Qin Li, et al.
Published: (2018-09-01) -
Sentiment Analysis for E-Commerce Product Reviews in Chinese Based on Sentiment Lexicon and Deep Learning
by: Li Yang, et al.
Published: (2020-01-01) -
Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
by: Yue Han, et al.
Published: (2020-01-01) -
Novel Fault Location Method for Power Systems Based on Attention Mechanism and Double Structure GRU Neural Network
by: Fan Zhang, et al.
Published: (2020-01-01)