Positionless aspect based sentiment analysis using attention mechanism-Reference-Cited by-同舟云学术

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Positionless aspect based sentiment analysis using attention mechanism

Published:2021-08 Issue: Volume:226 Page:107136
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Yadav Rohan Kumar^ORCID,Jiao Lei,Goodwin Morten,Granmo Ole-Christoffer^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference58 articles.

1. Sentiment analysis: Mining opinions, sentiments, and emotions;Zhao;Comput. Linguist.,2016

2. Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis;Tay,2018

3. Survey on aspect-level sentiment analysis;Schouten;IEEE Trans. Knowl. Data Eng.,2016

4. Recurrent attention network on memory for aspect sentiment analysis;Chen,2017

5. Transformation networks for target-oriented sentiment classification;Li,2018

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1. Fusion Network for Aspect-Level Sentiment Classification Based on Graph Neural Networks—Enhanced Syntactics and Semantics;Applied Sciences;2024-08-26

2. Reconstructed semantic relative distance and global and local attention fusion network for aspect-based sentiment analysis;Pattern Analysis and Applications;2024-07-22

3. CoreNLP dependency parsing and pattern identification for enhanced opinion mining in aspect-based sentiment analysis;Journal of King Saud University - Computer and Information Sciences;2024-04

4. A Graph Convolutional Network Based on Sentiment Support for Aspect-Level Sentiment Analysis;Applied Sciences;2024-03-25

5. A Sparse Self-Attention Enhanced Model for Aspect-Level Sentiment Classification;Neural Processing Letters;2024-02-16

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