Archive for August 8th, 2017

How Text Analysis is Making Our Borders More Secure

Sentiment analysis software

Increasing concerns about terrorism have made border security a growing concern. As technologies have grown more sophisticated so have the ways in which those with suspicious motives can circumvent them. Technologies such as text analysis, sentiment analysis, and named entity recognition tools that use machine learning to help border security officials identify potential fraudsters are vital to keeping the nation secure and ensuring that those who try to enter the United States by deceptive means are stopped.

In 2016, the U.S. Border Patrol (USBP) apprehended 415,816 people nationwide, up from 337,117 in 2015, while arrests by U.S. Immigration and Customs Enforcement (ICE) numbered 114,434. Named entity recognition tools help border officials to identify those who present at the border. They

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