Framework for Urdu News Headlines Classification
Journal Title: Journal of Applied Computer Science & Mathematics - Year 2016, Vol 10, Issue 21
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.
Authors and Affiliations
AHMED Kashif, ALI Mubashir, Khalid Shehzad, Muhammad KAMRAN
Keywords
Related Articles
- EP ID EP439536
- DOI 10.4316/JACSM.201601002
- Views 97
- Downloads 0
Evaluating Web-based Technologies: The Paradigm of User-centricity
–Web Search Engines (WeSEs) are information systems that demonstrate large scale distributed system capabilities, and are fluxing and dynamic in nature. It is necessary to continually review them. There is need for metho...
Real World Applications of MGR, Neeva and KN-Hash
Hash functions have prominent role in cryptography because of their ubiquitous applications in real world. Earlier, it was used for authentication only but with continuous research and development, it has been started us...
Enumerating Hamiltonian Cycles in a Planar Graph Using Combinatorial Cycle Bases
sed both for listing and enumerating Hamiltonian cycles contained in a planar graph. Planar cycle bases have a weighted induced graph whose weight values limited to 1. Hence making it was possible used in the Hamiltonian...
Two-dimensional Spectral Approximation
In this article, we propose a two-dimensional polynomial basis which extends Legendre series approximation to bivariate functions. We also present a theoretical study of the stability and the error estimation of the Ta...
Approximate solution of high-order integro-differential equations using radial basis functions
In this paper, we present a numerical method to solve linear and nonlinear high-order Volterra integro-differential equations. This method is based on interpolating by radial basis functions, using Legendre-Gauss-Lobatto...