Covid-19 Vaccine Sentiment Analysis During Second Wave in India by Transfer Learning Using XLNet
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-09282-4_37
Reference31 articles.
1. Rosenbaum, L.: Escaping catch-22—overcoming Covid vaccine hesitancy. N. Engl. J. Med. 384(14), 1367–1371 (2021)
2. Yousefinaghani, S., Dara, R., Mubareka, S., Papadopoulos, A., Sharif, S.: An analysis of Covid-19 vaccine sentiments and opinions on Twitter. Int. J. Infect. Dis. 108, 256–262 (2021)
3. Krishnan, G.S., Sowmya Kamath, S., Sugumaran, V.: Predicting vaccine hesitancy and vaccine sentiment using topic modeling and evolutionary optimization. In: Métais, E., Meziane, F., Horacek, H., Kapetanios, E. (eds.) Natural Language Processing and Information Systems, NLDB 2021. LNCS, vol. 12801, pp. 255–263. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-80599-9_23
4. Bl, M., Midha, S., Ramana Murthy Oruganti, V.: Sentiment analysis in Indian sub-continent during Covid-19 second wave using twitter data. In: 2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), pp. 1–6. IEEE (2021)
5. Liu, S., Li, J., Liu, J.: Leveraging transfer learning to analyze opinions, attitudes, and behavioral intentions toward Covid-19 vaccines: social media content and temporal analysis. J. Med. Internet Res. 23(8), e30251 (2021)
Cited by 3 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. Optimized Hybrid Model for COVID-19 Vaccine Sentiment Analysis for Hindi Text;SN Computer Science;2023-12-18
2. Analysis of Digital Information in Storage Devices Using Supervised and Unsupervised Natural Language Processing Techniques;Future Internet;2023-04-23
3. ADAPTATION OF DOMAIN-SPECIFIC TRANSFORMER MODELS WITH TEXT OVERSAMPLING FOR SENTIMENT ANALYSIS OF SOCIAL MEDIA POSTS ON COVID-19 VACCINE;Computer Science;2023-03-10
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