Arabic text genre classification

المؤلف

al-Halis, Ala M.

المصدر

Journal of Engineering Research and Technology

العدد

المجلد 4، العدد 3 (30 سبتمبر/أيلول 2017)، ص ص. 105-109، 5ص.

الناشر

الجامعة الإسلامية-غزة عمادة شؤون البحث العلمي و الدراسات العليا

تاريخ النشر

2017-09-30

دولة النشر

فلسطين (قطاع غزة)

عدد الصفحات

5

التخصصات الرئيسية

اللغة العربية وآدابها

الموضوعات

الملخص EN

Text genre is a type of written text.

Arabic text genre classification predicts genre of specific text document written in Arabic independent of its topic.

In this paper, an approach was proposed that takes an Arabic document and classify it into one of four genres which are advertisements, news, subjective and scientific documents.

Since the frequency of words approach produces a low performance when used in the genre, an attempted was made to generate attributes based on the style of the text.

This approach evaluated using corpus collected for this purpose.

Using four machine learning methods, our approach compared with the word frequency approach, and it found that our approach is better than this mainstream approach.

It, also, found that predicting subjectivity and scientific genre is more accurate than predicting advertisements and news.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Halis, Ala M.. 2017. Arabic text genre classification. Journal of Engineering Research and Technology،Vol. 4, no. 3, pp.105-109.
https://search.emarefa.net/detail/BIM-776848

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Halis, Ala M.. Arabic text genre classification. Journal of Engineering Research and Technology Vol. 4, no. 3 (Sep. 2017), pp.105-109.
https://search.emarefa.net/detail/BIM-776848

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Halis, Ala M.. Arabic text genre classification. Journal of Engineering Research and Technology. 2017. Vol. 4, no. 3, pp.105-109.
https://search.emarefa.net/detail/BIM-776848

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes appendix : p. 109

رقم السجل

BIM-776848