H-Rank: A keywords extraction method from web pages using POS tags

被引：0
|
作者：
Shah, Himat [1 ]
Khan, Muhammad U. S. [1 ]
Franti, Pasi [1 ]
机构：
[1] Univ Eastern Finland, Sch Comp, Joensuu, Finland
来源：
2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | 2019年
关键词：
Agglomerative clustering; POS tags; Web pages;
D O I：
10.1109/indin41052.2019.8972331
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present a new keywords extraction method that applies the semantic similarity among the frequent words on the web page along with the distribution of POS tags. We apply hierarchical clustering to cluster the semantically similar words that have more coverage of the content of the web page. Our method shows better performance than CL-Rank and other existing methodologies.
引用
收藏
页码：264 / 269
页数：6
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