Accès libre

Chinese Text Auto-Categorization on Petro-Chemical Industrial Processes

Cybernetics and Information Technologies's Cover Image
Cybernetics and Information Technologies
Special issue with selection of extended papers from 6th International Conference on Logistic, Informatics and Service Science LISS’2016
À propos de cet article

Citez

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.Search in Google Scholar

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/a9020027Search in Google Scholar

3. Xiao, L., J. L. Huang. The Application of Knowledge Management in Petroleum and Petrochemical Industry. – Oil Forum, Vol. 5, 2014, pp. 29-35.Search in Google Scholar

4. Thorsten, J. Text Categorization with Support Vector Machines. Learning with Many Relevant Features. Berlin, Springer, 1998.Search in Google Scholar

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.Search in Google Scholar

6. Manning, C. D., P. Raghavan, H. Schütze. Introduction to Information Retrieval. Cambridge University Press, UK, 200910.1017/CBO9780511809071Search in Google Scholar

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.Search in Google Scholar

8. Niu, Y. L., H. Zhang. Automatic Classification of Chinese Text-State of Art. – Software Guide, Vol. 7, 2008, No 4, pp. 24-26.Search in Google Scholar

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.Search in Google Scholar

10. Yuan, J. P., D. H. Zhu, Y. Li. Survey of Text Mining Technology. – Application Research of Computer, 2006, No 2, pp. 1-4.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

13. Lu, Z. Y., S. Zhao, Y. M. Lin. Research of KNN in Text Categorization. – Computer and Modernization, Vol. 11, 2008, pp. 69-72.Search in Google Scholar

14. Sun, R. Z. An Improved KNN Algorithm for Text Classification. – Computer Knowledge and Technology, Vol. 6, 2010, No 1, pp. 174-175.Search in Google Scholar

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.Search in Google Scholar

16. Qian, X. D., Z. O. Wang. Text Categorization Method Based on Improved KNN. – Information Science, Vol. 23, 2005, No 4, pp. 550-554.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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. 42-49.10.1145/312624.312647Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

26. Kuang, C. L., Q. Q. Xia. Analysis on Text Classification Algorithm Based on SVM-KNN. – Computer Era, 2010, No 8, pp. 29-31.Search in Google Scholar

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.2010.674-080Search in Google Scholar

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.Search in Google Scholar

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.2013.12.034Search in Google Scholar

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.2012.03.027Search in Google Scholar

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.Search in Google Scholar

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.2012.06.005Search in Google Scholar

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.2011.04.002Search in Google Scholar

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.2010.08.126Search in Google Scholar

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.2012.05.025Search in Google Scholar

36. Li, Q. Text Classification Based on SVM Network. – Electronic Technology, Vol. 10, 2014, pp. 8-11.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

44. Salton, G., A. Wong, C. S. Yang. A Vector Space Model for Automatic Indexing. – Common ACM, Vol. 18, 1975, pp. 613-620.10.1145/361219.361220Search in Google Scholar

45. Support vector machine. https://en.wikipedia.org/wiki/Support_vector_machineSearch in Google Scholar

eISSN:
1314-4081
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Computer Sciences, Information Technology