Named Entity Recognition
Named entity recognition (NER) (also known as entity identification and entity extraction) is a subtask of information extraction that seeks to locate and classify atomic elements in text into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.
We start with a phrase (‘uranium enrichment’), then look at PDF documents containing the phrase, run the OpenCalias and Alchemy API for NER on it, ending up with a graph that shows person’s names, locations and companies – all in a Edge Weighted View (EWV) graph with referring URLs. Finally we compare the top locations found with what’s listed on Wikipedia. The video is rather large (150 MB) but shows Maltego v3 in HD and should be worth watching.
BlackhatEU : Unveiling Maltego 3.0
Download Maltego Client 3
