Comparing Neural Network Approach with N-Gram Approach for Text Categorization
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 1
Abstract
This paper compares Neural network Approach with N-gram approach, for text categorization, and demonstrates that Neural Network approach is similar to the N-gram approach but with much less judging time. Both methods demonstrated here are aimed at language identification. The presence of particular characters, words and the statistical information of word lengths are used as a feature vector. In an identification experiment with Asian languages the neural network approach achieved 98% correct classification rate with 500 bytes, but it is five times faster than n-gram based approach.
Authors and Affiliations
A. Suresh Babu , P. N. V. S. Pavan Kumar
Keywords
Related Articles
- EP ID EP113235
- DOI -
- Views 105
- Downloads 0
Identification and Removal of Impulsive noise using Hypergraph Model
Image noise is unwanted information of an image. Noise can occur during image capture, transmission, or processing and it may depend or may not depend on image content.. In order to remove the noise from the noisy image,...
A Comparative Survey on Symmetric Key Encryption Techniques
Nowadays, the use of internet are growing increasingly across the world, security becomes a prime concern of issue for the society. Earlier security was a major issue for military applications but now the area of applica...
FEATURE BASED IMAGE OPTIMIZATION TECHIQUE
The motivation behind the production of high resolution images is to increase the quality and the visual presentation of a digital image. The erstwhile analogue images captured by the silver Bromide film was having infin...
Improved Fuzzy C-Means Algorithm for MR Brain Image Segmentation
Segmentation is an important aspect of medical image processing, where Clustering approach is widely used in biomedical applications particularly for brain tumor detection in abnormal Magnetic Resonance Images (MRI). Fuz...
ARPE : An Attack-Resilient and Power Efficient Multihop WiMAX Network
IEEE 802.16 standard known as WiMAX (Worldwide Interoperability for Microwave Access), is one of the most promising wireless access technology for next generation all-IP networks. The fundamental requirements for WiMAX...