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 81
- Downloads 0
Performance Evaluation of Algorithms using a Distributed Data Mining Frame Work based on Association Rule Mining
Numerous current data mining tasks can be implemented effectively only in a distributed data mining. Thus distributed data mining has achieved significant importance in the last decade. The proposed distributed data mini...
Sports Video Summarization using Priority Curve Algorithm
The noble technique, Video summarization is process to represent the content of video in compact manner. It is basically of two type’s static video summary and dynamic video skimming based. Static video summary it is th...
Adaptive Enhancement of routing protocol under CBR and TCP traffic source
The main objective of this article is to study and enhance on demand routing protocol under different traffic consideration so that our proposed routing protocol give an better result then other reactive and proactive ro...
Personal Cloud-based Learning Environment
In recent years, E-learning has grown into a widely accepted way of learning, and the usage of the global network is inevitable in every education process. Ubiquitous learning environments should integrate modern pedagog...
Prediction of Association among Numerical Aptitude, Programming Skills, Trait Emotional Intelligence on Students Performance
Identifying variables that predict programming skill may help educators and employers. The employer may select potential students as employees. These variables are influenced by various factors. This paper is an attempt...