Fuzzy logic-based pre-classifier for tropical wood species recognition system
Machine Vision and Applications
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Na茂ve Bayes classifier is proved to be one of the most effective classifier an be used widely. It applies statistical theory to text classification. This paper researched and implemented a Chinese text classifier using JAVA base on Na茂ve Bayes Method. First of all, this paper described test classification system, the content includes text information expressing, extracting and the method of Chinese text classification. Then it used JAVA to implement Na茂ve Bayes classification algorithm. Finally this paper made a performance evaluation to the classifier in this classification system, it used the indicators of precision, recall and run time to evaluate the classification results, experiment showed that this classification system has a higher classification accuracy.