Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Wubo Zhang"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5359-5377 (2024)
Abstract The aspect-based sentiment analysis (ABSA) consists of two subtasks: aspect term extraction (AE) and aspect term sentiment classification (ASC). Previous research on the AE task has not adequately leveraged syntactic information and has over
Externí odkaz:
https://doaj.org/article/019c14ca3f2c4022bc7a4d1e88e36586
Publikováno v:
IEEE Access, Vol 11, Pp 98596-98606 (2023)
The spread of fake news across several fields has had serious negative impacts on the public and society. Existing studies have shown that the use of multi-domain labels can improve the accuracy of fake news detection models since news from different
Externí odkaz:
https://doaj.org/article/d2b898b9aa144ce7bb83354df0306769
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-15
In the field of text classification, current research ignores the role of part-of-speech features, and the multi-channel model that can learn richer text information compared to a single model. Moreover, the method based on neural network models to a
Autor:
Pingjie Huang, Peihua Chen, Dibo Hou, Baoling Liu, Guangxin Zhang, Huayi Tang, Wubo Zhang, Banteng Liu
Publikováno v:
Nondestructive Testing and Evaluation. 28:367-385
Accurate and rapid recognition of defects is essential for structural integrity and health monitoring of in-service device using eddy current (EC) non-destructive testing. This paper introduces a novel model-free method that includes three main modul