Convolutional neural network multi-emotion classifiers
Other Title(s)
مصنفات التفافية متعددة الأحاسيس مستندة على الشبكات العصبية
Joint Authors
Ibrahim, Suha Sayyid
Ismail, Sali Sad
Bahnasi, Khalid Abd al-Hamid
Arif, Mustafa Mahmud
Source
Jordanian Journal of Computetrs and Information Technology
Issue
Vol. 5, Issue 2 (31 Aug. 2019), pp.97-108, 12 p.
Publisher
Princess Sumaya University for Technology
Publication Date
2019-08-31
Country of Publication
Jordan
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Natural languages are universal and flexible, but cannot exist without ambiguity.
Having more than one attitude and meaning in the same phrase context is the main cause for word or phrase ambiguity.
Most previous work on emotion analysis has only covered single-label classification and neglected the presence of multiple emotion labels in one instance.
This paper presents multi-emotion classification in Twitter based on Convolutional Neural Networks (CNNs).
The applied features are emotion lexicons, word embeddings and frequency distribution.
The proposed networks performance is evaluated using state-of-the-art classification algorithms, achieving a hamming score range from 0.46 to 0.52 on the challenging SemEval2018 Task E-c.
American Psychological Association (APA)
Ibrahim, Suha Sayyid& Ismail, Sali Sad& Bahnasi, Khalid Abd al-Hamid& Arif, Mustafa Mahmud. 2019. Convolutional neural network multi-emotion classifiers. Jordanian Journal of Computetrs and Information Technology،Vol. 5, no. 2, pp.97-108.
https://search.emarefa.net/detail/BIM-1416231
Modern Language Association (MLA)
Ibrahim, Suha Sayyid…[et al.]. Convolutional neural network multi-emotion classifiers. Jordanian Journal of Computetrs and Information Technology Vol. 5, no. 2 (Aug. 2019), pp.97-108.
https://search.emarefa.net/detail/BIM-1416231
American Medical Association (AMA)
Ibrahim, Suha Sayyid& Ismail, Sali Sad& Bahnasi, Khalid Abd al-Hamid& Arif, Mustafa Mahmud. Convolutional neural network multi-emotion classifiers. Jordanian Journal of Computetrs and Information Technology. 2019. Vol. 5, no. 2, pp.97-108.
https://search.emarefa.net/detail/BIM-1416231
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 106-108
Record ID
BIM-1416231