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Several researchers have developed tools for classifying/ clustering Web search results into different topic areas (such as sports, movies, travel, etc.), and to help users identify relevant results quickly in the area of interest. This study follows a similar approach, but is in the area of sentiment classification - automatically classifying on-line review documents according to the overall sentiment...
Automatic text classification is an important operational problem in digital library practice. Most text classification efforts so far concentrated on developing centralized solutions. However, centralized classification approaches often are limited due to constraints on knowledge and computing resources. In addition, centralized approaches are more vulnerable to attacks or system failures and less...
Techniques for the long-term preservation of digital materials are increasingly critical as more and more intellectual content is meaningful only in electronic form. Terry Kuny, in his often quoted paper "A Digital Dark Ages?" concluded, "Digital collections facilitate access, but do not facilitate preservation. ... Although tremendous work has been undertaken in defining the problems...
In this article we present an evaluation of text clustering and classification methods for creating digital library browse interfaces, focusing on the particular case of collections made up of heterogeneous metadata records. This situation is common in "portal" style digital libraries, which are built by harvesting content from many disparate sources, typically using the Open Archives Protocol...
This paper describes a real-time audio-based automatic music genre classifier for use in organizing, browsing, and searching musical digital libraries. A decision tree classifier trained on a 40-dimension feature space is used to categorize music into one of 14 different genres with the results being displayed to a continuously updating user interface
Summary form only given. Many have suggested the use of genres to ameliorate the problem of Web search. A central issue in the implementation of this idea is the choice of genres to be used as Web page descriptors. Several studies have explored user terminology for and recognition of several types of digital documents, e.g., various types of office documents, personal home pages, and pages returned...
Personalized project space is a key feature in G-Portal to allow its owner, the learner, to gather and organize metadata about geography-related learning objects relevant to his/her learning process. The ongoing G-Portal research has been focusing on the development of a Web portal to manage geography learning objects on the Web by storing metadata about these objects. Query, classification, annotation...
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