H-Rank: A keywords extraction method from web pages using POS tags
Himat Ali Shah, Muhammad Usman Shahid Khan, Pasi Fränti · 2019
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.