Framework for Urdu News Headlines Classification

Framework for Urdu News Headlines Classification

Journal

Subject and more

  • LCC Subject Category:
  • Publisher's keywords: Urdu News Classification, Feature Vector, SVM
  • Language of fulltext: english
  • Full-text formats available: PDF
  • Time From Submission to Publication:

AUTHORS

    AHMED Kashif, ALI Mubashir, Khalid Shehzad, Muhammad KAMRAN

FULL TEXT

To download PDF files Login to your Account.

ABSTRACT

Automatic text classification has great significance in the field of text mining and plays a pivotal role in areas such as spam filtering, news classification, noise reduction etc. It is evident from the literature that there is ample of research conducted for classifying text documents e.g. English news classification, Persian text classification etc. but there is no copious amount of work related to short Urdu text or Urdu news headlines classification. Therefore, after examining various existing news classification methodologies we propose an SVM based framework in this paper for classification of Urdu news headlines. This approach classifies Urdu news based on headlines in their respective pre-defined categories by utilizing their feature vector’s maximum indexes. This proposed system is compared with existing state-of-the art techniques.

About Europub

EuroPub is a comprehensive, multipurpose database covering scholarly literature, with indexed records from active, authoritative journals, and indexes articles from journals all over the world. The result is an exhaustive database that assists research in every field. Easy access to a vast database at one place, reduces searching and data reviewing time considerably and helps authors in preparing new articles to a great extent. EuroPub aims at increasing the visibility of open access scholarly journals, thereby promoting their increased usage and impact.