[1]盛丹丹.聚类算法在高校院所学生微博的应用研究[J].计算机技术与发展,2022,32(S2):47-51.[doi:10. 3969 / j. issn. 1673-629X. 2022. S2. 008]
　SHENG Dan-dan.Research on Cluster Algorithm in Institute of Geology and College Students’ Microblogging[J].,2022,32(S2):47-51.[doi:10. 3969 / j. issn. 1673-629X. 2022. S2. 008]
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聚类算法在高校院所学生微博的应用研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年S2期
页码:
47-51
栏目:
大数据分析与挖掘
出版日期:
2022-12-11

文章信息/Info

Title:
Research on Cluster Algorithm in Institute of Geology and College Students’ Microblogging
文章编号:
1673-629X(2022)S2-0047-05
作者:
盛丹丹
中国地震局地质高校院所,北京 100029
Author(s):
SHENG Dan-dan
Institute of Geology,China Earthquake Administration,Beijing 100029,China
关键词:
聚类算法; K-Means 算法; 热门话题检测; 微博; 高校院所
Keywords:
clustering algorithm; K-Means algorithm; hot topic detection; microblogging; Institute of Geology and College
分类号:
TP301. 6
DOI:
10. 3969 / j. issn. 1673-629X. 2022. S2. 008
摘要:
近年来,数据采集和存储技术飞速发展,很多领域积累了大量的数据,因而数据挖掘技术被引出。 为探究聚类算法在高校院所学生微博的应用研究,针对 K-Means 算法和聚类分层算法在聚类中心选择不精确的问题,基于高校院所学生使用微博的背景,对微博文本挖掘应用中聚类算法的应用进行了改进。 通过文本的矢量表示,文本相似度计算和聚类算法的实现,验证了聚类算法在微博热门话题检测的准确性和效率,并针对实验数据提出几点针对性的措施。
Abstract:
In recent years,the rapid development of data collection and storage technology,many areas have accumulated a lot of data,such as microblogging, then data mining is derived. Based on the problem of inaccurate selection of K - Means algorithm andagglomerative hierarchical clustering algorithm under the background? ? of Institute of Geology and college students’ use of microblogging,improvement was made regarding the use of clustering algorithm in the application of text mining. It was verified that the accuracy andefficiency of hot topic detection had been enhanced via vector representation of the text,text similarity calculation, and implementation ofclustering algorithm and we put forward some specific measures for the experimental data.

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更新日期/Last Update: 2022-10-10