Individuals are flooded every day by thousands of news items from many different sources – blogs, feeds, internal reports, news services – yet only a small number of those items may be of interest to a particular person. Filtering these news items for companies or organizations of interest is becoming increasingly important as the number and variety of sources expands, yet it is becoming more difficult because many of these news items are not explicitly tagged with the relevant companies or organizations.
An algorithm is needed to accurately tag incoming news items by relevance for companies or organizations mentioned within the news item.
In the field of physics and astronomy, the classification scheme PACS (available at http://www.global-sci.org/jams/authors/pacs2008.pdf) gives one of the best tagging methods. You should collect similar schemes from different fields and develop one of the best tagging scheme for a wide range of topics.
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