State of the art: a review of sentiment analysis based on sequential transfer learning
Author:
Funder
Ministry of Education of Malaysia
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/s10462-022-10183-8.pdf
Reference150 articles.
1. Abdu SA, Yousef AH, Salem A (2021) Multimodal video sentiment analysis using deep learning approaches, a survey. Inf Fusion 76:204–226
2. Acheampong FA, Nunoo-Mensah H, Chen W (2021) Transformer models for text-based emotion detection: a review of bert-based approaches. Artif Intell Rev 54:1–41
3. Adoma AF, Henry NM, Chen W (2020) Comparative analyses of bert, roberta, distilbert, and xlnet for text-based emotion recognition. In: 2020 17th international computer conference on wavelet active media technology and information processing (ICCWAMTIP). IEEE, pp 117–121
4. Agüero-Torales MM, Salas JIA, López-Herrera AG (2021) Deep learning and multilingual sentiment analysis on social media data: an overview. Appl Soft Comput 107:107373
5. Al-Moslmi T, Omar N, Abdullah S, Albared M (2017) Approaches to cross-domain sentiment analysis: a systematic literature review. IEEE Access 5:16173–16192
Cited by 88 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. Surveying the Use of Social Media Data and Natural Language Processing Techniques to Investigate Natural Disasters;Natural Hazards Review;2024-11
2. Automatic rating method based on deep transfer learning for machine translation considering contextual semantic awareness;Alexandria Engineering Journal;2024-10
3. Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study;Neurocomputing;2024-09
4. TransLSTM: A hybrid LSTM-Transformer model for fine-grained suggestion mining;Natural Language Processing Journal;2024-09
5. EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24
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