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Open AccessArticle

SAW Classification Algorithm for Chinese Text Classification

1
School of Information Engineering, Northeast Dianli University, Jilin 132012, China
2
Database/Bioinformatics Laboratory, Chungbuk National University, Chungbuk 362-763, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Jason C. Hung
Sustainability 2015, 7(3), 2338-2352; https://doi.org/10.3390/su7032338
Received: 14 August 2014 / Revised: 18 December 2014 / Accepted: 1 February 2015 / Published: 27 February 2015
(This article belongs to the Special Issue Ubiquitous Green IT System for Sustainable Computing)
Considering the explosive growth of data, the increased amount of text data’s effect on the performance of text categorization forward the need for higher requirements, such that the existing classification method cannot be satisfied. Based on the study of existing text classification technology and semantics, this paper puts forward a kind of Chinese text classification oriented SAW (Structural Auxiliary Word) algorithm. The algorithm uses the special space effect of Chinese text where words have an implied correlation between text information mining and text categorization for high-correlation matching. Experiments show that SAW classification algorithm on the premise of ensuring precision in classification, significantly improve the classification precision and recall, obviously improving the performance of information retrieval, and providing an effective means of data use in the era of big data information extraction. View Full-Text
Keywords: big data; SAW classification algorithm; relevance big data; SAW classification algorithm; relevance
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MDPI and ACS Style

Guo, X.; Sun, H.; Zhou, T.; Wang, L.; Qu, Z.; Zang, J. SAW Classification Algorithm for Chinese Text Classification. Sustainability 2015, 7, 2338-2352. https://doi.org/10.3390/su7032338

AMA Style

Guo X, Sun H, Zhou T, Wang L, Qu Z, Zang J. SAW Classification Algorithm for Chinese Text Classification. Sustainability. 2015; 7(3):2338-2352. https://doi.org/10.3390/su7032338

Chicago/Turabian Style

Guo, Xiaoli; Sun, Huiyu; Zhou, Tiehua; Wang, Ling; Qu, Zhaoyang; Zang, Jiannan. 2015. "SAW Classification Algorithm for Chinese Text Classification" Sustainability 7, no. 3: 2338-2352. https://doi.org/10.3390/su7032338

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