Comparitive Study of Vector Space Model Techniques in Information Retrieval for Arabic Language
| المصدر: | مجلة التربوي |
|---|---|
| الناشر: | جامعة المرقب - كلية التربية بالخمس |
| المؤلف الرئيسي: | Yahia, Fatima F. M. (Author) |
| مؤلفين آخرين: | Abushaala, Ahmed M. (Co-Author) |
| المجلد/العدد: | ع13 |
| محكمة: | نعم |
| الدولة: |
ليبيا |
| التاريخ الميلادي: |
2018
|
| الشهر: | يوليو |
| الصفحات: | 340 - 344 |
| ISSN: |
2011-421X |
| رقم MD: | 943870 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EduSearch |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Information Retrieval | Vector Space Model | Arabic Information Retrieval | Cosine Similarity | Inner Product
|
| رابط المحتوى: |
عدد مرات التحميل
8
| المستخلص: |
Information retrieval is a process of getting the desired data accurately and efficiently. Arabic Information Retrieval system is considered as an active research area since there are millions Arabic speakers need to retrieve documents, images and videos on the Internet. Arabic is considered as one of the most difficult languages in automatic Natural Language Processing (NLP). All these aspects have encouraged researches to develop Arabic Information Retrieval (IR) systems and models to support the process of retrieving the most relevant documents to the user’s query. In this paper, two techniques of Vector Space Model (VSM) are used to retrieve Arabic text documents which are Cosine Similarity technique and Inner Product technique. The main objective of this research is to compare between these two techniques in terms of retrieving the most relevant documents that met the user’s needs. The result showed that both techniques will retrieve the same order of the documents that are related to the entered user’s query. Both techniques perform well in Arabic information retrieval systems. |
|---|---|
| ISSN: |
2011-421X |
عناصر مشابهة
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Exploit Genetic Algorithm to Enhance Arabic Information Retrieval
بواسطة: Al Shargabi, Bassam منشور: (2009) -
Comparison between Similarity Measurments of Vector Space Model on Arabic Text
بواسطة: Kanaan, Ghassan منشور: (2010)
