Named Entity Recognition is one of the subtasks of Information Extraction. The main aims of named entity recognition are first to locate the proper nouns in a given text, and second - classify these entities into different categories such as Person, Location, Organization, Event, Date, etc.
Intellexer Named Entity Recognizer successfully identifies not only all the types of named entities mentioned above, but also relations between them. This information has a crucial meaning in the field of information security as it allows tracing suspicious people and events. The results of Intellexer Named Entity Recognizer can help intelligence analysts to answer the questions: "who/what is being discussed?" and "how people/events are connected to each other?".
Let′s consider the following text that was recorded before the 7 July 2005 London bombings:
I and thousands like me are forsaking everything for what we believe.
Our driving motivation doesn't come from tangible commodities that this world has to offer.
Our religion is Islam - obedience to the one true God, Allah, and following the footsteps of the final prophet and messenger Muhammad... This is how our ethical stances are dictated.
Your democratically elected governments continuously perpetuate atrocities against my people all over the world.
And your support of them makes you directly responsible, just as I am directly responsible for protecting and avenging my Muslim brothers and sisters.
Until we feel security, you will be our targets. And until you stop the bombing, gassing, imprisonment and torture of my people we will not stop this fight.
We are at war and I am a soldier. Now you too will taste the reality of this situation. I myself, I myself, I make dua (pray) to Allah... to raise me amongst those whom I love like the prophets, the messengers, the martyrs and today's heroes like our beloved Sheikh Osama Bin Laden, Dr Ayman al-Zawahri and Abu Musab al-Zarqawi and all the other brothers and sisters that are fighting in the... of this cause.
With the help of our semantic solution Intellexer Sentiment Analyzer we can detect that current message has a very negative meaning and contains direct threats. But what information do we know about the author of this text? Is this a real danger or not?
Intellexer Named Entity Recognizer automatically processes a large amount of documents related to the author of this text, Mohammad Sidique Khan, and extracts all the required information to make the right decision:
After a brief analysis of the person′s profile, related people and organizations, an expert team can identify that the author might be potentially involved in terroristic attacks.