Survey on sentiment analysis: evolution of research methods and topics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-022-10386-z.pdf
Reference244 articles.
1. Abbasi A, France S, Zhang Z, Chen H (2011) Selecting attributes for sentiment classification using feature relation networks. IEEE Trans Knowl Data Eng 23(3):447–462. https://doi.org/10.1109/TKDE.2010.110
2. Abdullah NSD, Zolkepli IA (2017) Sentiment analysis of online crowd input towards Brand Provocation in Facebook, Twitter, and Instagram. In: Proceedings of the international conference on big data and internet of thing, association for computing machinery, pp 67–74. https://doi.org/10.1145/3175684.3175689
3. Abo MEM, Idris N, Mahmud R, Qazi A, Hashem IAT, Maitama JZ et al (2021) A multi-criteria approach for Arabic dialect sentiment analysis for online reviews: exploiting optimal machine learning algorithm selection. Sustainability 13(18):10018. https://doi.org/10.3390/su131810018
4. Abrahams AS, Jiao J, Wang GA, Fan W (2012) Vehicle defect discovery from social media. Decis Support Syst 54(1):87–97. https://doi.org/10.1016/j.dss.2012.04.005
5. Acheampong FA, Nunoo-Mensah H, Chen W (2021) Transformer models for text-based emotion detection: a review of BERT-based approaches. Artif Intell Rev 54(8):5789–5829. https://doi.org/10.1007/s10462-021-09958-2
Cited by 53 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. Comprehensive review and comparative analysis of transformer models in sentiment analysis;Knowledge and Information Systems;2024-09-06
2. Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study;Neurocomputing;2024-09
3. Delineating emotional differences between depressed and non-depressed individuals using a novel multimodal framework;Multimedia Tools and Applications;2024-08-29
4. Global Media Sentiments on the Rohingya Crisis: A Comparative Analysis of News Articles from Ten Countries;Journalism and Media;2024-08-20
5. Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection;Information Fusion;2024-08
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