Evaluation of support vector machine and decision tree for emotion recognition of malay folklores
In this paper, the performance of Support Vector Machine (SVM) and Decision Tree (DT) in classifying emotions from Malay folklores is presented. This work is the continuation of our storytelling speech synthesis work to add emotions for a more natural storytelling. A total of 100 documents from chil...
Published in: | Bulletin of Electrical Engineering and Informatics |
---|---|
Main Author: | Saad M.M.; Jamil N.; Hamzah R. |
Format: | Article |
Language: | English |
Published: |
Institute of Advanced Engineering and Science
2018
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052713014&doi=10.11591%2feei.v7i3.1279&partnerID=40&md5=95f1f663458c7cbe717021ead4588123 |
Similar Items
-
Evaluation the Accuracy of Oil Palm Tree Detection Using Deep Learning and Support Vector Machine Classifiers
by: 2-s2.0-85135484503
Published: (2022) -
Precipitation estimation using support vector machine with discrete wavelet transform
by: Shenify M.; Danesh A.S.; Gocić M.; Taher R.S.; Wahab A.W.A.; Gani A.; Shamshirband S.; Petković D.
Published: (2015) -
Training and analysis of support vector machine using sequential minimal optimization
by: Shahbudin S.; Hussain A.; Samad S.A.; Md. Tahir N.
Published: (2008) -
The Classification Performance using Support Vector Machine for Endemic Dengue Cases
by: 2-s2.0-85086720184
Published: (2020) -
Comparison of Different Kernel Parameters using Support Vector Machine for Agarwood Oil Grading
by: 2-s2.0-85112521426
Published: (2021)