SAW Classification Algorithm for Chinese Text Classification
AbstractConsidering 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
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Guo, X.; Sun, H.; Zhou, T.; Wang, L.; Qu, Z.; Zang, J. SAW Classification Algorithm for Chinese Text Classification. Sustainability 2015, 7, 2338-2352.
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.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.