MERAL Myanmar Education Research and Learning Portal
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Extraction of Weather Keywords from News Topic
http://hdl.handle.net/20.500.12678/0000004144
http://hdl.handle.net/20.500.12678/0000004144ef634824-ec3a-42ab-9159-bbe58bfe0e7c
e16dd790-2a66-409b-a797-454fc0b6a312
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Title | ||||||
Title | Extraction of Weather Keywords from News Topic | |||||
Language | en | |||||
Publication date | 2009-12-30 | |||||
Authors | ||||||
Yee, Hnin Wut | ||||||
Tun, Myint Thu Zar | ||||||
Description | ||||||
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. | ||||||
Keywords | ||||||
web pages, contextual advertising, substantial source, relevant keywords | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1843 | |||||
Journal articles | ||||||
Fourth Local Conference on Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |