The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
How to estimate the value of a scientific paper is a common requirement, when we facing so many retrieved scientific papers. This paper provides a method named PaperRank for ranking scientific papers based on Google's PageRank, which considers those factors reflecting the reading value of the papers such as content, journal, author, published time etc. The method of ranking papers also can be seen...
Text classification categories Web documents in large collections into predefined classes based on their contents. Unfortunately, the classification process can be time-consuming and users are still required to spend considerable amount of time scanning through the classified Web documents to identify the ones that satisfy their information needs. In solving this problem, we first introduce CorSum,...
The method that using repeating information, appeared in Web pages to represent the semantic meaning can be used to improve the correct rate of Web pages classification. This paper analyses and improves the traditional repeating patterns representation methods, and further proposes a new semantic representation of Web information based on repeating patterns. First, the repeating patterns are formal...
Sentiment classification aims at mining opinions of customers for a certain product by automatically classifying the reviews into positive or negative opinions. With the fast developing of World Wide Web applications, sentiment classification would have huge opportunity to help automatic analysis of customerspsila opinions from the web information. Opinion mining will benefit both consumers and sellers...
Studying link structure of the World Wide Web (WWW) is an area which has attracted a lot of interest. Several papers have been published on structural analysis of hyperlinked environments such as the WWW. The WWW can be modeled as a graph and valuable information can be derived by analyzing links between the Web-pages primarily for the purpose of building better search engines. Many novel methods...
This study proposed early decision heuristics for objectionable content classification using an inverse chi-square classifier. The experimental results indicated that only examining the title plus 10% of a Web pagepsilas content can cost-effectively achieve an average precision of 93%. More importantly, the F1 measure achieved its best when the title plus 60% of the body was examined. The proposed...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.