Open Access
MATEC Web Conf.
Volume 309, 2020
2019 International Conference on Computer Science Communication and Network Security (CSCNS2019)
Article Number 02007
Number of page(s) 5
Section Network Security and Software Design
Published online 04 March 2020
  1. G. M. Jones, S. G. Winster. Forensics analysis on smart phones using mobile forensics tools[J]. International Journal of Computational Intelligence Research, 2017, 13(8): 1859–1869. [Google Scholar]
  2. Y. Y. Wang, C. Q. Fan, Y. H. Su. Research on semantic analysis for chats [J]. Information Network Security, 2017 (9): 89–92. [Google Scholar]
  3. S. Y. Li, W. He. Research on a method for feature selection of chat text [J]. Computer Science, 2007, 34 (5): 202–204. [Google Scholar]
  4. A. R. M. Basher, B. C. Fung. Analyzing topics and authors in chat logs for crime investigation [J]. Knowledge and information systems, 2014, 39(2): 351–381. [CrossRef] [Google Scholar]
  5. K. Sameera, P. Vishwakarma. Cybercrime: To detect suspected user’s chat using text mining [M]. Information and Communication Technology for Intelligent Systems. Springer, Singapore, 2019: 381–390. [Google Scholar]
  6. H. Li, H. Huang, Cao X, et al. Falcon: A novel chinese short text classification method [J]. Journal of Computer and Communications, 2018, 6: 216–226. [CrossRef] [Google Scholar]
  7. J. Qiang, Y. Li, Y. Yuan, et al. STTM: A Tool for Short Text Topic Modeling[J]. arXiv preprint arXiv:1808.02215, 2018. [Google Scholar]
  8. H. K. Azad, A. Deepak. Query expansion techniques for information retrieval: a survey [J]. Information Processing & Management, 2019, 56(5): 1698–1735. [CrossRef] [Google Scholar]
  9. B. Zhou, R. W. Cen, Y. Q. Liu, et al. A method for reordering search results based on document similarity [J]. Journal of Chinese Information Processing, 2010, 24 (3): 19–23. [Google Scholar]
  10. C. B. He, Y. Tang, Q. Zhang, et al. Online clustering of short texts based on incremental robust non-negative matrix factorization [J]. Chinese Journal of Electronics, 2019, 47 (5): 1086–1093. [Google Scholar]
  11. D. D. Lee, H. S. Seung. Learning the parts of objects by non-negative matrix factorization [J]. Nature, 1999, 401: 788–791. [NASA ADS] [CrossRef] [PubMed] [Google Scholar]

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