Journal of Terahertz Science and Electronic Information Technology , Volume. 21, Issue 3, 378(2023)

Micro-blog hot topic detection method based on improved K-means

CHEN Yangjian1、* and WEN Qiuhua2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(6)

    [2] [2] YANG Y,CARBONELL J,BROWN R,et al. Multi-strategy learning for topic detection and tracking[M]. New York:Springer US, 2002.

    [5] [5] SAKAKI T, OKAZAKI M, MATSUO Y. Earthquake shakes Twitter users: real-time event detection by social sensors[C]// Proceedings of the 19th International Conference on World Wide Web. ACM:[s.n.],2010:851-860.

    [7] [7] LIU Z, YU W, CHEN W. Short text feature selection and classification for microblog mining[C]// Proceedings of International Conference on Computational Intelligence and Software Engineering. Wuhan,China:IEEE, 2010:1-4.

    [11] [11] BISHOP C M. Pattern recognition and machine learning[M]. New York:Springer, 2006.

    [13] [13] DING X,HE L,CARIN L. Bayesian robust principal component analysis[J]. IEEE Transactions on Image Processing, 2011,20 (12):3419-3430.

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    CHEN Yangjian, WEN Qiuhua. Micro-blog hot topic detection method based on improved K-means[J]. Journal of Terahertz Science and Electronic Information Technology , 2023, 21(3): 378

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    Paper Information

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    Received: Sep. 14, 2020

    Accepted: --

    Published Online: Apr. 12, 2023

    The Author Email: CHEN Yangjian (Chenyangjian688@163.com)

    DOI:10.11805/tkyda2020457

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