Sentiment Analysis for e-Payment Service Providers Using Evolutionary eXtreme Gradient Boosting-Reference-Cited by-同舟云学术

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Sentiment Analysis for e-Payment Service Providers Using Evolutionary eXtreme Gradient Boosting

Published:2020 Issue: Volume:8 Page:189930-189944
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Al-Qudah Dana A.^ORCID,Al-Zoubi Ala' M.,Castillo-Valdivieso Pedro A.^ORCID,Faris Hossam^ORCID

Funder

Project grant from the Deanship of Scientific Research, The University of Jordan

Ministerio español de Economía y Competitividad

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09229408.pdf?arnumber=9229408

Cited by 17 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

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2. Exploring the determinants of the user experience in P2P payment systems in Spain: a text mining approach;Financial Innovation;2024-01-02

3. Development of an Effective Sentiment Classification Architecture for Texts Containing Negation Words and Emojis;2023-12-05

4. Deep Learning for Digital Safety: Cyberbullying Detection in Arabic YouTube Content;2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS);2023-11-21

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