Title :
Search-based short-text classification
Author :
Wei, Kang ; Zhang, Ruiquan ; Xu, Xinguo
Author_Institution :
Nat. Comput. Syst. Eng. Res., Beijing, China
Abstract :
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.
Keywords :
Bayes methods; classification; information retrieval; text analysis; Na´iveBayes classification algorithm; search-based method; search-based short-text classification; NarveBayes; search engine; short text; text classification;
Conference_Titel :
Pervasive Computing and Applications (ICPCA), 2010 5th International Conference on
Conference_Location :
Maribor
Print_ISBN :
978-1-4244-9144-5
DOI :
10.1109/ICPCA.2010.5704116