際際滷shows by User: sreekumar_09 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: sreekumar_09 / Mon, 23 Feb 2015 09:01:15 GMT 際際滷Share feed for 際際滷shows by User: sreekumar_09 Text categorization using Rough Set /slideshow/text-categorization-using-rough-set/45022887 presentation-150223090115-conversion-gate01
Text categorization is the task where text documents are classified into one or more categories (pre-defined) based on their contents. Analysis of text content and categorization of the documents is a complex task. To achieve this, various techniques has been developed recently. In this seminar, the task of text categorization has been divided into three parts, viz. text document representation, classifier construction and performance. Rough set is a method for classificatory analysis of data. The main goal of rough set is to analyze and synthesize approximation of concepts of the acquired data. Thus, the traditional categorization methods and rough sets has been integrated to perform text categorization in order to achieve a good classifier.]]>
Text categorization is the task where text documents are classified into one or more categories (pre-defined) based on their contents. Analysis of text content and categorization of the documents is a complex task. To achieve this, various techniques has been developed recently. In this seminar, the task of text categorization has been divided into three parts, viz. text document representation, classifier construction and performance. Rough set is a method for classificatory analysis of data. The main goal of rough set is to analyze and synthesize approximation of concepts of the acquired data. Thus, the traditional categorization methods and rough sets has been integrated to perform text categorization in order to achieve a good classifier.]]> Mon, 23 Feb 2015 09:01:15 GMT /slideshow/text-categorization-using-rough-set/45022887 sreekumar_09@slideshare.net(sreekumar_09) Text categorization using Rough Set sreekumar_09 Text categorization is the task where text documents are classified into one or more categories (pre-defined) based on their contents. Analysis of text content and categorization of the documents is a complex task. To achieve this, various techniques has been developed recently. In this seminar, the task of text categorization has been divided into three parts, viz. text document representation, classifier construction and performance. Rough set is a method for classificatory analysis of data. The main goal of rough set is to analyze and synthesize approximation of concepts of the acquired data. Thus, the traditional categorization methods and rough sets has been integrated to perform text categorization in order to achieve a good classifier. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentation-150223090115-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Text categorization is the task where text documents are classified into one or more categories (pre-defined) based on their contents. Analysis of text content and categorization of the documents is a complex task. To achieve this, various techniques has been developed recently. In this seminar, the task of text categorization has been divided into three parts, viz. text document representation, classifier construction and performance. Rough set is a method for classificatory analysis of data. The main goal of rough set is to analyze and synthesize approximation of concepts of the acquired data. Thus, the traditional categorization methods and rough sets has been integrated to perform text categorization in order to achieve a good classifier.
Text categorization using Rough Set from Sreekumar Biswas
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