A Research Voucher Case Study: Web Clipping
Abstract: Web clipping deals with the acquisition of text and graphic components, and from web pages and their efficient display on a hand-held web appliance. Many such solutions already exist on the market. While they are mostly too expensive or do not provide desired functionality there is strong motivation to develop such solutions. The project is conducted in collaboration with company that manages the leading IT portal in Slovenia and produces news media. Our aim was to develop a web solution for data acquisition, to find out where, when and in what form information appears on the web and to detect user response. Process automation enables the company to collect data fast and effectively which will be crucial for future editorial and business decisions. In this paper we present an approach and implemented solutions that provide a better flexibility to users in selecting, retrieving, extracting and tracking information in publicly available publications on the web.
Keywords: web clipping, information retrieval, sentiment analysis, text mining, web mining
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