DocumentCode :
1735307
Title :
Topic tracking based on Naive bayes
Author :
Li, Shuping ; Xia, Chunyan ; Li, Shengdong ; Zhang, Wei
Author_Institution :
Dept. of Comput. Sci. & Technol., Mudanjiang Normal Univ., Mudanjiang, China
Volume :
2
fYear :
2011
Firstpage :
1046
Lastpage :
1049
Abstract :
Text classification is the key technology for topic tracking, and bayesian algorithm is a simple and efficient text classification model. So we use bayesian text classification model as key technology for topic tracking and vector space model as topic pre-process model to develop a topic tracking system. The experimental results show that the system has good performance. Therefore, the Naive Bayes text classification model as key technology for topic tracking to deal with topic tracking problems is effective.
Keywords :
Bayes methods; text analysis; Bayesian algorithm; Bayesian text classification model; naive Bayes text classification model; topic pre-process model; topic tracking problem; topic tracking system; vector space model; Art; Automobiles; Computers; Education; Finance; NIST; mutual information; naive bayes; precision rate; racall rate; topic tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
Type :
conf
DOI :
10.1109/ICCSNT.2011.6182140
Filename :
6182140
Link To Document :
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