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A GPU-based Native Bayesian algorithm for document classification
Yang Chengpeng 1 #,Gao Zhanchun 2 *,Jiang Yanjun 1
1.Computer Science department, Beijing University of Posts and Telecommunications, Beijing 100876
2.Computer Science department, eijing University of Posts and Telecommunications, Beijing 100876
*Correspondence author
#Submitted by
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Funding: none
Opened online:26 November 2013
Accepted by: none
Citation: Yang Chengpeng,Gao Zhanchun,Jiang Yanjun.A GPU-based Native Bayesian algorithm for document classification[OL]. [26 November 2013] http://en.paper.edu.cn/en_releasepaper/content/4570429
 
 
Document classifying is one of the most important tasks in text mining. In classifying algorithms, high-dimensional vector is usually used to represent all features or all features' weight information which causes that the algorithms are often computationally expensive. This paper implements a GPU-based Bayesian algorithm with NVIDIA's Compute Unified Device Architecture (CUDA) and uses it for document classifying. In this experiment, the GPU-based program can acquire a maximum 50 times speedup in contrast with CPU-based program.
Keywords:Document classifying; Bayesian Algorithm; GPU; parallel computing
 
 
 

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