Arabic keyword extraction using SOM neural network

المؤلفون المشاركون

Amush, Ibtihal H.
Samawi, Venus W.

المصدر

International Computer Sciences and Informatics Conference, Amman, Jordan 12-13 January 2016.

الناشر

جامعة عمان العربية

تاريخ النشر

2016-01-31

دولة النشر

الأردن

عدد الصفحات

10

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص الإنجليزي

Keywords are considered an abridged version of the text which indicate the important information implied within the document.

The availability of huge amount of information on the WWW makes the process of analyzing document information and finding the proper keywords manually very difficult.

Therefore, automatic keyword extraction techniques (AKE) are needed.

In this paper, we will tackle the problem of automatic keyword extraction from Arabic documents base on unsupervised learning method.

The main objective of this research is to propose an automatic Arabic keyword extraction (AAKE) technique from single document using full-text based indexing.

The proper feature-set that improves AAKE performance is specified.

Self-organizing map (SOM) neural network is used as an unsupervised learning method.

The performance of the proposed technique is evaluated using recall, precision, and F-measure.

Encouraging results are obtained compared with Sakhr keyword extractor.

نوع البيانات

أوراق مؤتمرات

رقم السجل

BIM-767290

• APA
• MLA
• AMA