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Extraction of Weather Keywords from News Topic

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dc.contributor.author Yee, Hnin Wut
dc.contributor.author Tun, Myint Thu Zar
dc.date.accessioned 2019-08-06T04:00:55Z
dc.date.available 2019-08-06T04:00:55Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1843
dc.description.abstract A large and growing number of web pages display contextual advertising based on keywords automatically extracted from the text of the page, and this is a substantial source of revenue supporting the web today. Despite the importance of this area, little formal, published research exists. We describe a system that learns how to extract keywords from web pages for advertisement targeting. The system uses a number of weather keywords presences in meta-data and how often the term occurs in search query. This system is trained with a set of example pages that have been hand-labeled with "relevant" keywords. Based on this training, it can extract new keywords from previously unseen pages. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.subject web pages en_US
dc.subject contextual advertising en_US
dc.subject substantial source en_US
dc.subject relevant keywords en_US
dc.title Extraction of Weather Keywords from News Topic en_US
dc.type Article en_US


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