Automatic creation of daily news digests from Internet news sites

Abstract

With the advent of 24-hour news channels and Internet news sites, the ease of finding news sources has become easier than ever. However, with the increased number of sources covering a greater variety of topics it is becoming increasingly difficult for users to weed through the important and not so important news of the day. This paper presents a system that automatically creates a daily digest of the important news topics of the day. News articles are mined from Internet news sites and the articles are stored for later analysis. At the end of the day, or specified period, the articles are analyzed to determine the important news topics and to create a listing of the top stories of the day. The digest shows the top stories with their title, keywords, link and summary information. Through human judged evaluation it is shown that the created digests satisfy users. © Springer Science+Business Media B.V. 2010.