A standard feature in cataloging documents is the list of keywords. When the source documents are web pages, we can attempt to aid the cataloger by analyzing the page and presenting relevant support material. Since the keywords that occur in a document generally occur in keyphrases, and keyphrases provide contextual material for reviewing candidate keywords, they are a natural aggregate to extr...

In this paper we present KX, a system for keyphrase extraction developed at FBK-IRST, which exploits basic linguistic annotation combined with simple statistical measures to select a list of weighted keywords from a document. The system is flexible in that it offers to the user the possibility of setting parameters such as frequency thresholds for collocation extraction and indicators for keyph...

The goal of implementing a keyword extraction system is to increase as near as 100% of precision and recall. These values are affected by the amount of extracted keywords. There are two groups of errors happened i.e. false-rejected and false-accepted keywords. To improve the performance of the system, false-rejected keywords should be recovered and the false-accepted keywords should be reduced....

A method for extracting an article and its keywords from a notated document using color image processing is presented. In this method, the user selects a region of an article and its keywords and marks them in color on the printed document. The system extracts the article and recognizes the keywords. This paper describes, (1) colored area extraction and color effect removal by adaptive threshol...