Repository logo
Communities & Collections
All of DSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "عبدالعزيز حسن خرساني سليمان"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Thumbnail Image
    Item
    تصميم خوارزمية حديثة لذيادة كفاءة تصنيف النص العربي باستخدام الانظمة الذكية
    (جامعة النيلين, 2013) عبدالعزيز حسن خرساني سليمان
    Abstract‘ Text categorization is the process of classifying documentslinto a .. . predefined set of categories based on the content o_f the documents.‘ The study aimed to design an algorithm to irnprove7‘the- accuracy of the Arabic text stemming and classification especially!‘-vertbs multiple reward and bilateral names andiduplicate character?’;And;V"bsing intelligent software contribute to the Arabic textrclasisification . Software package was used visual studio2010 and c #~ package to fitlit smaijtsoftware systems used to classify texts . And The study icovncludedrthat the most important result set to increase the percentage; of classification of’Arabic texts to 96% . Abstraction algorithm has been‘ improved by increasing verbs multiple reward and bilateral names._ abstraction algorithm has been improved and duplicate by deleting the character,-_injthez.-Arabic; texts) . been working interface fromfwhich you can increase Weight word manually in the system [ianclthe user so if Ray importance of the floor totdetermine the cat'egory.€There is an urgent need for the use of the Arabic languagejfor automated taxonomy in order to keep up with other languages, te_chniques_,. and study

DSpace software copyright © 2002-2025 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify