Semantic assisted Natural Language Processing for extracting information from Nodes
Posted by rpfilomeno on March 31, 2010 at 8:29pm
Overview:
There is so much content in the Internet that its availability becomes its own problem, we still need to manually extract information from each content. Sure there's a lot of ways this is being addressed like use of meta data, tags, web semantics, micro-format but it only yields data. As example, a news article has headline and title; its tagged and categorized. We used web semantic analysis and find Persons, places, events and etc. Still we dont know anything really about it, how does the mentioned persons related to the places and events. Where they on it or referring to it? How about answering "Is the article a good or bad news?" To whom is it good to and by what degree?
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