References
- 1. Ni, J., X. Li, J. Zhou et al. Ontology-Based Knowledge Modelling and Reasoning for Petrochemical Products. – China CIO News, Vol. 7, 2012, No 20, pp. 138-140.
- 2. Abdullah, A., G. Tan, A. Khaled et al. The Effect of Preprocessing on Arabic Document Categorization. – Algorithms, Vol. 9, 2016, No 2, p. 27.10.3390/a9020027
- 3. Xiao, L., J. L. Huang. The Application of Knowledge Management in Petroleum and Petrochemical Industry. – Oil Forum, Vol. 5, 2014, pp. 29-35.
- 4. Thorsten, J. Text Categorization with Support Vector Machines. Learning with Many Relevant Features. Berlin, Springer, 1998.
- 5. Dasarathy, B. Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques. – In: McGraw-Hill Computer Science Series. Las Alamitos, California, IEEE Computer Society Press, 1991.
- 6. Manning, C. D., P. Raghavan, H. Schütze. Introduction to Information Retrieval. Cambridge University Press, UK, 200910.1017/CBO9780511809071
- 7. Wang, R. Q., T. J. Hu. Automatic Classification of Chinese Text-State of Art. – Journal of Medical Intelligence, 2002, No 6, pp. 342-347.
- 8. Niu, Y. L., H. Zhang. Automatic Classification of Chinese Text-State of Art. – Software Guide, Vol. 7, 2008, No 4, pp. 24-26.
- 9. Tan, J. B., Y. Li, X. J. Yang. Development of Text Automatic Categorization Measurement Research. – New Technology of Library and Information Service, 2005, No 5, pp. 46-49.
- 10. Yuan, J. P., D. H. Zhu, Y. Li. Survey of Text Mining Technology. – Application Research of Computer, 2006, No 2, pp. 1-4.
- 11. Zhan, Y., H. Chen, F. Yuan, L. J. Wang. Research Progress of Text Mining Technology. – Journal of Hebei University (Natural Science Edition), Vol. 23, 2003, No 2, pp. 221-226.
- 12. Zhang, X. F., H. Y. Huang. An Improved KNN Text Categorization Algorithm by Adopting Cluster Technology. – Pattern Recognition and Artificial Intelligence, Vol. 22, 2009, No 6, pp. 936-940.
- 13. Lu, Z. Y., S. Zhao, Y. M. Lin. Research of KNN in Text Categorization. – Computer and Modernization, Vol. 11, 2008, pp. 69-72.
- 14. Sun, R. Z. An Improved KNN Algorithm for Text Classification. – Computer Knowledge and Technology, Vol. 6, 2010, No 1, pp. 174-175.
- 15. Liu, B., L. Yang, F. Yuan. Study on Intelligent Question-Answering System of Restricted Field. – Journal of Xihua University (Natural Science), Vol. 27, 2008, No 2, pp. 33-36.
- 16. Qian, X. D., Z. O. Wang. Text Categorization Method Based on Improved KNN. – Information Science, Vol. 23, 2005, No 4, pp. 550-554.
- 17. Fan, H. L., W. Q. Chen. An Improved KNN Approach of Text Classification Based on Association Analysis. – Computer Technology and Development, Vol. 24, 2014, No 6, pp. 71-74.
- 18. Wang, A. P., X. Y. Xu, W. W. Guo et al. Text Categorization Method Based on Improved KNN Algorithm. – Software Technology, Vol. 30, 2011, No 18, pp. 8-10.
- 19. Su, Y. J., Z. Y. Deng, D. B. Chen. Fast KNN Classification Algorithm under Large Data. – Application Research of Computers, Vol. 33, 2015, pp.1-6.
- 20. Yang, Y., X. Liu. A Re-Examination of Text Categorization Methods. – In: Proc. of 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999, ACM, pp. 42-49.10.1145/312624.312647
- 21. Liu, H. L., Z. G. Zhang, Z. H. Ma et al. An Empirical Study of Chinese Text Categorization Based on SVM and KNN. – Information Studies: Theory and Application, Vol. 31, 2008, No 6, pp. 941-944.
- 22. Zhang, H. X., J. G. Pang. Research on Text Classification Based on SVM and KNN. – Journal of Modern Information, Vol. 35, 2015, No 5, pp. 73-77.
- 23. Zhang, A. L., G. L. Liu, C. Y. Liu. Research on Multi-Class Text Categorization Based on SVM. – Journal of Information, 2004, No 9, pp. 6-10.
- 24. Wang, Q., X. L. Wang, Y. Guan. A Research on Text Categorization Based on Fusion of KNN and SVM. – Chinese High Technology Letters, Vol. 5, 2005, No 15, pp. 19-24.
- 25. Wang, C. X., T. Zhang, C. S. Ma. Improved SVM-KNN Algorithm for Imbalanced Datasets Classification. – Computer Engineering and Applications, Vol. 52, 2016, No 4, pp. 51-55.
- 26. Kuang, C. L., Q. Q. Xia. Analysis on Text Classification Algorithm Based on SVM-KNN. – Computer Era, 2010, No 8, pp. 29-31.
- 27. Cateni, S., V. Colla, M. Vannucci. Variable Selection Through Genetic Algorithms for Classification Purposes. – In: Proc. of 10th IASTED International Conference on Artificial Intelligence and Applications (AIA’10), 2010, pp. 6-11.10.2316/P.2010.674-080
- 28. Yang, T., X. J. Lu, Z. F. Liao, W. Liu, H. A. Wang. SVM Based Decision Analysis and Its Granular-Based Solving, – Lecture Notes in Computer Science, Vol. 5593, 2009, pp. 734-748.
- 29. Tsai, C. F., Z. Y. Chen, S. W. Ke. Evolutionary Instance Selection for Text Classification. – The Journal of Systems and Software, Vol. 90, 2014, pp. 104-113.10.1016/j.jss.2013.12.034
- 30. Ghiassi, M., M. Olschimke, B. Moon, P. Arnaudo. Automated Text Classification Using a Dynamic Artificial Neural Network Model. – Expert Systems with Applications, Vol. 39, 2014, pp. 10967-10976.10.1016/j.eswa.2012.03.027
- 31. Gunal, S., S. Ergin, M. B. Gulmezoglu, O. N. Gerek. On Feature Extraction for Spam e-Mail Detection. – Lecture Notes in Computer Science, Vol. 4105, 2006, pp. 635-642.
- 32. Uysal, A. K., S. Gunal. A Novel Probabilistic Feature Selection Method for Text Classification. – Knowledge-Based Systems, Vol. 36, 2012, pp. 226-235.10.1016/j.knosys.2012.06.005
- 33. Cheng, N., R. Chandramouli, K. P. Subbalakshmi. Author Gender Identification from Text. – Digital Investigation, Vol. 8, 2011, pp. 78-88.10.1016/j.diin.2011.04.002
- 34. Ozel, S. A. A Web Page Classification System Based on a Genetic Algorithm Using Tagged-Terms as Features. - Expert Systems with Applications, Vol. 38, 2011, pp. 3407-3415.10.1016/j.eswa.2010.08.126
- 35. Maks, I., P. Vossen. A. Lexicon Model for Deep Sentiment Analysis and Opinion Mining Applications. – Decision Support Systems, Vol. 53, 2012, pp. 680-688.10.1016/j.dss.2012.05.025
- 36. Li, Q. Text Classification Based on SVM Network. – Electronic Technology, Vol. 10, 2014, pp. 8-11.
- 37. Chen, P. W., X. F. Fu. Research on Sentiment Classification of Text Based on SVM. – Journal of Guangdong University of Technology, Vol. 31, 2014, No 3, pp. 95-101.
- 38. Gao, X. W., S. Y. Zheng, L. Gao et al. WeChat Monitoring Research Based on SVM Active Learning. – Computer & Digital Engineering, Vol. 44, 2016, No 4, pp. 715-719.
- 39. Li, Z. Y., X. W. Yang, M. Wang. Research on the Classification of Travel Demand Information and the Acquisition of Ontology Concept Based on “We Media”. – Library and Information Service, 2015, No 23, pp. 106-114.
- 40. Chen, G. L., W. M. Tang. Text Topic Mining Based on Sentiment Classification. – Journal of Chongqing Normal University (Natural Science), 2016, No 1, pp. 92-96.
- 41. Deng, H. P., G. Wu. Discovery of Topic-Specific Information Source Based on Web Crawler and Website Classification. – Computer Engineering and Applications, Vol. 52, 2016, No 3, pp. 59-65.
- 42. Jiang, T., J. J. Sun. Automatic Chinese Field Terminology Extraction Based on SVR Model. – Information Studies: Theory & Application, Vol. 39, 2016, No 1, pp. 24-31.
- 43. Yang, L. H., Q. Dai, Y. J. Guo. Study on KNN Text Categorization Algorithm. – Microcomputer Information, Vol. 22, 2006, No 7, pp. 269-271.
- 44. Salton, G., A. Wong, C. S. Yang. A Vector Space Model for Automatic Indexing. – Common ACM, Vol. 18, 1975, pp. 613-620.10.1145/361219.361220
- 45. Support vector machine. https://en.wikipedia.org/wiki/Support_vector_machine