After analyzing a large amount of social annotations, we found that tags are usually semantically related to each other if they are used to tag the same or related resources for many times. Users may have similar interests if their annotations share many
This paper describes Seeker, a platform for large-scale text analytics, and SemTag, an application written on the platform to perform automated semantic tagging of large corpora. We apply SemTag to a collection of approximately 264 million web pages, and