Extraction of Semantic Text Portion Related to Anchor Link

Abstract

Recently, semantic text portion (STP) is getting popular in the field of Web mining. STP is a text portion in the original page which is semantically related to the anchor pointing to the target page. STPs may include the facts and the people's opinions about the target pages. STPs can be used for various upper-level applications such as automatic summarization and document categorization. In this paper, we concentrate on extracting STPs. We conduct a survey of STP to see the positions of STPs in original pages and find out HTML tags which can divide STPs from the other text portions in original pages. We then develop a method for extracting STPs based on the result of the survey. The experimental results show that our method achieves high performance.

HITS algorithm improvement using semantic text portion

“…In our previously reported study [15], the precision of our LSP extraction method, which extracts LSPs, was 97.01%. The precision of our USP extraction method, which extracts USP, was 89.43%.…”

“…In our previously reported study [15], the precision of the Anchor-text method, which extracts the anchor-text of the anchor, is 100%. The precision of the Paragraph-based method, which extracts the text in the paragraph which directly includes the anchor, is 71.23%.…”

“…We then proposed a method for extracting STPs based on this result. Experimental results show that the proposed method can extract STPs with high accuracy [15].…”

“…That method must overcome the disadvantages of the Chakrabarti's method. We already developed such a method in a previously reported study [15]. We designate a text portion that is semantically related to the anchor of a link as a Semantic Text Portion (STP).…”

“…Then we provide a short explanation of our proposed method for extracting STPs based on the investigation results. (For detailed information, please see the full version of our previous paper [15]. )…”