منابع مشابه
Filtering for Medical News Items
In this paper we describe recent work to provide a filtering service for readers interested in medically related news articles from online news sources. The first task is to filter out the nonmedical news articles. The remaining articles, the medically related ones, are then assigned MeSH headings for context and then categorized further by intended audience level (medical expert, medically kno...
متن کاملFiltering for medical news items using a machine learning approach
We address the problem of filtering medical news articles for targeted audiences. The approach is based on terms and one of the difficulties is extracting a feature set appropriate for the domain. This paper addresses the medical news-filtering problem using a machine learning approach. We describe the application of two supervised machine learning techniques, Decision Trees and Naïve Bayes, to...
متن کاملRelating RSS News/Items
Merging related RSS news (coming from one or different sources) is beneficial for end-users with different backgrounds (journalists, economists, etc.), particularly those accessing similar information. In this paper, we provide a practical approach to both: measure the relatedness, and identify relationships between RSS elements. Our approach is based on the concepts of semantic neighborhood an...
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ژورنال
عنوان ژورنال: Proceedings of the American Society for Information Science and Technology
سال: 2005
ISSN: 0044-7870
DOI: 10.1002/meet.1450390131