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.
Feature selection plays an important role in text categorization, and contributes directly to the accuracy of the categorization. In the process of feature selection, due to the lack of consideration of the traditional expected cross entropy algorithm for document frequency, we first improve the expected cross entropy formula of the traditional, and then propose an improved text feature selection...
Text feature selection is the key technology in text classification and text information retrieval. The feature selection method - information gain - has extensive application in text categorization. This paper theoretically analyzed the deficiency of information gain in feature selection methods, and then introduced two improvement factors which were LDFWF (Limiting Document Frequency's Word Frequency)...
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.