KHACDD : A knowledge-based hybrid method for multilabel sentiment analysis on complex sentences using attentive capsule and dual structured recurrent network

KHACDD : A knowledge-based hybrid method for multilabel sentiment analysis on complex sentences using attentive capsule and dual structured recurrent network

Using a machine to mine public opinion saves money and time. Traditional sentiment analysis approaches are typically unable to handle multi-meaning phrases, syntactically complex structured statements, and a large number of characteristics. We proposed a new knowledge-based hybrid deep learning meth...

Full description

Bibliographic Details
Main Authors: Islam, Md Shofiqul, Ngahzaifa, Ab Ghani, Kamal Zuhairi, Zamli, Md Munirul, Hasan, Abbas Saliimi, Lokman
Format: Article
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2024
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/42129/
http://umpir.ump.edu.my/id/eprint/42129/1/KHACDD_A%20knowledge-based%20hybrid%20method%20for%20multilabel.pdf
http://umpir.ump.edu.my/id/eprint/42129/2/KHACDD_A%20knowledge-based%20hybrid%20method%20for%20multilabel%20sentiment%20analysis%20on%20complex%20sentences%20using%20attentive%20capsule%20and%20dual%20structured%20recurrent%20network_ABS.pdf

Similar Items

Similar Items