The paper presents a longitudinal analysis of the evolution new physics keywords co-occurrence patterns. For that, we explore documents indexed in INSPIRE database from 1989 to 2018. Our purpose is quantify knowledge structure fast-growing subfield physics. development novel approach main point paper. In contrast traditional co-keyword network analysis, investigate structures that unite concept...

Domain keywords extraction is very important for information extraction, information retrieval, classification, clustering, topic detection and tracking, and so on. TextRank is a common graph-based algorithm for keywords extraction. For TextRank, only edge weights are taken into account. We proposed a new text ranking formula that takes into account both edge and node weights, named F2N-Rank. E...

With the advent of Internet since 1990’s, we have seen a tremendous growth in the volume of online text documents available on the Internet, news sources, and company-wide intranets. There is increasingly need for tools to deal with text documents. This white paper briefly presents the different perspectives of document categorization, the document similarity, and keywords extraction also is ap...

In this paper we propose new methods for ordering the Web pages returned from search engines. Given a few search keywords, nowadays most search engines could retrieve more than a few thousand Web pages. The problem is how to order the retrieved Web pages and then to present the most relevant Web pages first. We propose new factors to allow relevant Web pages to be ranked higher. The factors inc...