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 algorithm has a great influence on the accuracy of text categorization. The traditional information gain (IG) feature selection algorithm usually selects the features that rarely appear in the specified categories, but frequently appear in other categories. To overcome this drawback, on the basis of in-depth analysis of the related algorithms, an improved IG feature selection method...
The high dimensionality of the text categorization raises big hurdles in applying many sophisticated learning algorithms to the text categorization. Feature selection, which reduces the number of features that represent documents, is an absolute requirement in text categorization. In this paper, we proposed a feature selection method, which improved the performance of the Ambiguity Measure feature...
Effective classification of web pages can improve the quality of information retrieval. The traditional classification algorithms are basically based on the analysis of Web content, but the content of the web page is complicated, filled with a large number of false, erroneous information, has seriously affected the accuracy of the classification of network information. To solve this problem, this...
Nowadays, text classification has been one of the key subjects in intelligent information processing. Owing to the complex features of natural language, the feature space dimensions will be particularly high. How to improve the accuracy of text classification is an important and hard problem. As rough set is a useful tool to deal with uncertain information, a hybrid algorithm for text classification...
Progressive Transductive Support Vector Machine extends Transductive Support Vector Machine in different class distribution. It is the solution to the problem that it has to estimate the ratio of positive negative examples from the sets which are not an easy task to deal with. The paper introduces a Half-Against-Half Multi-Class Text Classification algorithm Using Progressive Transductive Support...
This paper describes Olex, a novel method for the automatic induction of rule-based text classifiers. Olex supports a hypothesis language of the form "if T1 or hellip or Tn occurs in document d, and none of T1+n,... Tn+m occurs in d, then classify d under category c," where each Ti is a conjunction of terms. The proposed method is simple and elegant. Despite this, the results of a systematic...
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.