登录 注册 会员服务 联系我们

Sentiment analysis of amazon user reviews using a hybrid approach

  • Published:2023-06 Issue: Volume:27 Page:100790
  • ISSN:2665-9174
  • Container-title:Measurement: Sensors
  • language:en
  • Short-container-title:Measurement: Sensors

Author:

J Sangeetha,U Kumaran

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference27 articles.

1. Sentiment analysis on social media;Neri,2012

2. Machine learning approach for sentiment analysis;Agarwal,2016

3. Survey on sentiment analysis of user reviews;Naseem,2021

4. Sentiment analysis of amazon product reviews using hybrid rule-based approach;Dadhich,2022

5. Sentiment analysis based on deep learning: a comparative study;Dang;Electronics,2020

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. Hyper-tuned Swarm Intelligence Machine Learning-based Sentiment Analysis of Social Media;Engineering, Technology & Applied Science Research;2024-08-02

2. Classified Recognition Method for Analyzing User Sentiments Using Social Media Posts;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

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. Deep Learning Approaches for Sentiment Analysis: Comparative results;2024 6th International Conference on Computing and Informatics (ICCI);2024-03-06

5. A Comparative Analysis Between Deep Learning and Machine Learning Algorithms Based on User Review Sentiment Analysis from Various OTT Applications;2024 International Conference on Computer, Electrical & Communication Engineering (ICCECE);2024-02-02
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