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Since the traditional classification algorithm does not work well in the case of short-text classification, we propose a search-based method employing Na'iveBayes classification algorithm. This paper describes the whole process, including the classification algorithms, training and the evaluation. The results indicate that the classifier has better performance comparing with other methods.
This work proposes a hybrid model for text document classification for information retrieval using Naive Bayes and Rough set theory. Rough set theory is used for feature reduction and Naive Bayes theorem is used for classification of documents into the predefined categories by means of the probabilistic values. The deployment of the proposed model is planned through an enhanced method of the utilization...
Question classification plays a crucial important role in the question answering system. Recent research on question classification for open-domain mostly concentrates on using machine learning methods to resolve the special kind of text classification. This paper presents our research about Chinese question classification using machine learning method and gives our approach based on SVM and semantic...
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