DocumentCode
441797
Title
A new text classification model based on the sentence space
Author
Zhu, Tie-Dan ; Zhao, Xin-Xin ; Liu, Yu-shu
Author_Institution
Sch. of Inf. Sci. & Technol., Beijing Inst. of Technol., China
Volume
3
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
1774
Abstract
This paper proposes a sentence space model, which expresses a text by sentence units and keeps the structure of the original text. It accomplishes the TC task by the sentence-class contribution and the double-voting method. Comparing with the VSM, this model has a higher classification accuracy in many data sets.
Keywords
Bayes methods; text analysis; Naive Bayes; double-voting; sentence space model; sentence-class contribution; text classification model; vector space model; Computer science; Electronic mail; Information science; Labeling; Machine learning; Space technology; Support vector machine classification; Support vector machines; Text categorization; Web mining; Naive Bayes; Text Classification; Vector Space Model;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527232
Filename
1527232
Link To Document