Abstract
Thousand of news stories are reported each day. How to extract the useful information from the large web news is the important technology today. However, information technology advances have partially automated to processing documents, reducing the amount of text which must be read. In this paper we present a Web News Search System, called WNSS. WNSS can discover automatically phrase extraction from large corpora of web news stories. In addition, we give concrete examples of how to preprocess texts based on the intended use of the discovered results. We also evaluate the extracted phrases can be used for important tasks.
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Hsu, LF. (2010). Mining on Terms Extraction from Web News. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6421. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16693-8_21
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DOI: https://doi.org/10.1007/978-3-642-16693-8_21
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