NOTES AND NEWS ITEMS

Relating 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...

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...

BUSM News & Notes: May 30, 1980 no. 32: BUSM News and Notes

Filtering 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...

Analysis of News Exposure Items from the 1995 Pilot

Amid signs of renewed scholarly interest in the effects of mass communication in presidential campaigns, the 1995 NES Pilot undertook three mini-studies to improve the measurement of exposure to the mass media. The first involves exposure to TV news, which is believed by some scholars to be the most important influence in presidential campaigns. The second involves exposure to paid advertising,...