Novel Turkish sentiment analysis system using convnet
Author
Source
The International Arab Journal of Information Technology
Issue
Vol. 18, Issue 4 (31 Jul. 2021), pp.554-561, 8 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2021-07-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, an efficient model for the Turkish language sentiment analysis has been introduced.
As Turkish is an agglutinative language, which requires spatial processing, an efficient pre-processing model was also implemented and integrated as a part of the developed system.
In addition, the Deep Convolutional Neural Networks (ConvNet) have been integrated to build an efficient system.
Several experiments using the “Turkish movie reviews” dataset have been conducted, and it has been observed that the developed system has improved the sentiment analysis system that supports the Turkish language and significantly outperforms the existing state-of-the-art Turkish sentiment analysis systems.
American Psychological Association (APA)
al-Qarallah, Said. 2021. Novel Turkish sentiment analysis system using convnet. The International Arab Journal of Information Technology،Vol. 18, no. 4, pp.554-561.
https://search.emarefa.net/detail/BIM-1434338
Modern Language Association (MLA)
al-Qarallah, Said. Novel Turkish sentiment analysis system using convnet. The International Arab Journal of Information Technology Vol. 18, no. 4 (Jul. 2021), pp.554-561.
https://search.emarefa.net/detail/BIM-1434338
American Medical Association (AMA)
al-Qarallah, Said. Novel Turkish sentiment analysis system using convnet. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 4, pp.554-561.
https://search.emarefa.net/detail/BIM-1434338
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 560-561
Record ID
BIM-1434338