Hi all, A bit off topic but you may find it interesting:
http://blog.swiftly.org/post/2905826993/localizing-news cite The amount of information available in electronic format is rapidly increasing. It is becoming possible to find out real-time about the current events in a particular part of the world based on electronic data such as news articles, blog entries, twitter feeds and SMS messages. Even though the data is available, there is an overwhelming amount of it and it is hard to stay on top of events that are of relevance. Getting informed about recent developments is particularly important in the times of crisis, when lives could depend on timely response. In this project I am exploring ways to pinpoint the location discussed in text documents. I am able to achieve good results by combining location keywords extracted by Yahoo! Placemaker service with state of the art machine learning and natural language processing techniques. /cite -- Best Regards, Christian Ledermann Nairobi - Kenya Mobile : +254 729495789 <*)))>{ If you save the living environment, the biodiversity that we have left, you will also automatically save the physical environment, too. But If you only save the physical environment, you will ultimately lose both. }<(((*> _______________________________________________ Community mailing list [email protected] http://lists.gispython.org/mailman/listinfo/community
