基于文本聚类与兴趣衰减的微博用户兴趣挖掘方法研究_OpenScirbe Publishing

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基于文本聚类与兴趣衰减的微博用户兴趣挖掘方法研究

Author(s)：
李英杰

Publication Title：

Wen Yuan (Middle School Edition) 2020 No.10

Affiliations：
湖南环境生物职业技术学院审计处湖南衡阳 421005

Abstract：
本文首先分析了文本聚类算法的常见分类以优缺点，然后主要论述了基于文本聚类与兴趣衰减的微博用户兴趣挖掘方法，如兴趣模型构建、微博文本处理、建立压缩矩阵以及聚类算法使用等，希望可以为相关人员提供一定的参考，在挖掘用户兴趣的过程中可以灵活运用相关聚类算法构建兴趣模型，让挖掘结果更加精准。

Keywords：
文本聚类；微博用户兴趣；兴趣衰减

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[1] 李英杰.基于文本聚类与兴趣衰减的微博用户兴趣挖掘方法研究[J].Wen Yuan (Middle School Edition),2020(10),.

文渊(中学版)

Wen Yuan (Middle School Edition)

Language: 中文

CN：11-9275/G

ISSN：2096-627X

Publication Frequency: 月刊

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