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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2024
|
| Subjects: | |
| 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 |
Internet
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