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The tool for keyword extraction developed within the AXMEDIS project have been designed for working in a multilingual environment and new algorithms have been developed to generate keywords with higher representativeness for content search and identification. The paper specifies the linguistic criteria followed for
Web page classification plays an essential role in facilitating more efficient information retrieval and information processing. Conventionally, web text documents are represented by term frequency matrix for classification purpose. However, considering the limitations of representing documents using terms or keywords
Traditional image classification techniques are based on the analysis of low-level visual features or on textual information. In this paper, we describe a novel solution which tries to improve image analysis and processing algorithms by incorporating keywords and textual annotation produced by humans in a folksonomy
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.