Novel Turkish sentiment analysis system using convnet

المؤلف

al-Qarallah, Said

المصدر

The International Arab Journal of Information Technology

العدد

المجلد 18، العدد 4 (31 يوليو/تموز 2021)، ص ص. 554-561، 8ص.

الناشر

جامعة الزرقاء عمادة البحث العلمي

تاريخ النشر

2021-07-31

دولة النشر

الأردن

عدد الصفحات

8

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 560-561

رقم السجل

BIM-1434338