DocumentCode
2383492
Title
Search-based short-text classification
Author
Wei, Kang ; Zhang, Ruiquan ; Xu, Xinguo
Author_Institution
Nat. Comput. Syst. Eng. Res., Beijing, China
fYear
2010
fDate
1-3 Dec. 2010
Firstpage
297
Lastpage
301
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Applications (ICPCA), 2010 5th International Conference on
Conference_Location
Maribor
Print_ISBN
978-1-4244-9144-5
Type
conf
DOI
10.1109/ICPCA.2010.5704116
Filename
5704116
Link To Document