A novel hybrid deep learning model for aspect based sentiment analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A novel hybrid deep learning model for aspect based sentiment analysis

Published:2022-12-19 Issue:4 Volume:35 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Kuppusamy Mouthami¹^ORCID,Selvaraj Anandamurugan²^ORCID

Affiliation:

1. Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India

2. Department of Information Technology Kongu Engineering College Erode India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7538

Reference43 articles.

1. Improving aspect-based sentiment analysis via aligning aspect embedding

2. A Multiple-Layer Machine Learning Architecture for Improved Accuracy in Sentiment Analysis

3. Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges

4. Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTM

5. A Hybrid Bidirectional Recurrent Convolutional Neural Network Attention-Based Model for Text Classification

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distilroberta2gnn: a new hybrid deep learning approach for aspect-based sentiment analysis;PeerJ Computer Science;2024-08-16

2. An aspect sentiment analysis model with Aspect Gated Convolution and Dual-Feature Filtering layers;Journal of Big Data;2024-08-09

3. Multi-source Word-aligned Attention Average Pooling based Bidirectional Encoder Representation from Transformers for Product Review Sentiment Analysis;2024 4th International Conference on Data Engineering and Communication Systems (ICDECS);2024-03-22

4. Sports, crisis, and social media: a Twitter-based exploration of the Tokyo Olympics in the COVID-19 era;Social Network Analysis and Mining;2024-03-12

5. A novel B&B recommendation method based on improved intuitionistic fuzzy sets;Kybernetes;2024-01-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3