[1]
|
Z. Y. Cui, “Study on Related Technologies of Chinese Short Text Classification,” Henan University, Henan, 2006.
|
[2]
|
D. Fan, “Study on Chinese Short-Text Classification,” Tsinghua University, Beijing, 2009.
|
[3]
|
G. Salton, “Antomatic Text Processing: The Information, Analysis, and Retrieval of Information by Computer,” Addison-Wesley Longman Publishing Co., Inc., Boston, 1989.
|
[4]
|
V. Hatzivassiloglou, J. Klavans and E. Eskin, “Detecting Similarity over Short Passages: Exploring Linguistic Feature Combinations via Machine,” Proceedings of Joint SIGDAT Conference on Empirical Methods in NLP and very Large Corpora, Hong Kong, June 1999, pp. 21-22.
|
[5]
|
J. Chang, “Study on Short Text Classification Algorithms,” Fudan University, Shanghai, 2008.
|
[6]
|
W. Y. Liu, J. Q. Xiao, F. Min and B. Liu, “A Short Text Modeling Method Combing Semantic and Statistic Information,” Information Science, Vol. 180, No. 20, 2010, pp. 4031-4041.
http://dx.doi.org/10.1016/ j.ins.2010.06.021
|
[7]
|
X. Q. Wu, “Application of Hierarchical Keyword Extracting and Text Classification in BBS,” Shanghai Jiao Tong University, Shanghai, 2006.
|
[8]
|
S. Wang, X. H. Fan and X. L. Chen, “Chinese Short Text Classification Based on Hyponymy Relations,” Journal of Computer Application, Vol. 30, No. 3, 2010, pp. 602-606.
|
[9]
|
Z. Y. Cui, “Microblog Text Classification Based on Semantic Information,” Modern Computer, Vol. 8, 2010, pp. 18-20.
|
[10]
|
Z. M. Han, Y. S. Zhang, H. Zhang, Y. L. Wang and J. H. Huang, “On Offensive Short Text Tendency Classification Algorithm for Chinese Microblog,” Computer Application and Software, Vol. 29, No. 10, 2010, pp. 89-103.
|
[11]
|
Z. F. Zhang, D. Q. Miao and G. Gao, “Short Text Classification Based on LDA Topic Model,” Computer Application, Vol. 6, 2013, pp. 1587-1590
|
[12]
|
G. L. Shi and Q. F. Shi, “Text Mining Based on Consistency of Product Reviews in Different Shopping Websites,” New Technology of Library and Information Service, Vol. 12, 2011, pp. 64-68.
|
[13]
|
W. Yi and C. Meek, “Improving Similarity Measures for Short Segments of Text,” Proceedings of 22nd conference on Artifical Intellignce (AAAI-07), Vancouver, 24-26 July 2007, pp. 1489-1494.
|
[14]
|
Y. T. Zhou, J. B. Tang and J. Q. Wang, “The Improved TFIDF Based on Information Entropy,” Computer Engineering and Application, Vol. 43, No. 35, 2007, pp. 156-158.
|
[15]
|
K. L. Chen, “Collection and Analysis of Large-Scale Balanced-Corpus and Approach to Text Categorization,” Chinese Academy Science, Beijing, 2006.
|
[16]
|
Y. F. Zhang, S. M. Peng and J. Lv, “The Improvement and Application of TFIDF Based on Text Classification,” Computer Engineering, Vol. 3, No. 19, pp. 76-78.
|
[17]
|
F. J. Shao and Z. Q. Yu, “Principle and Algorithm of Data Mining,” China Waterpower Press, Beijing, 2003.
|
[18]
|
J. Qin, X. R. Chen and W. J. Wang, “Feature Extraction of Text Classification,” Computer Application, Vol. 23, No. 2, 2003, pp. 45-46.
|
[19]
|
W. H. Jia and M. Kamler, “Data Mining: Concepts and Techniques,” Morgan Kaufman Publishers, New York, 2006.
|