Smarter Government with Text Analytics

The Federal Government has a tremendous responsibility to protect the safety and security of Americans both at home and abroad. Fulfilling this responsibility includes identifying threats and opportunities hiding in large volumes of data. However, analyzing that data, extracting insights, and sharing information is quite challenging in this environment of multilingual Big Text. Since 2002, Basis Technology has been a trusted Federal Government partner, delivering text analytics solutions for defense, intelligence, and civilian departments.

In this webinar, we’ll discuss several applications of our Text Analytics software that are actively making the Federal Government more efficient, more responsive, and more accurate.  We’ll be presenting solutions to the following problems:

• Searching Huge Volumes of Multilingual Text
  If your mission is to find the needle in a world full of haystacks, you need search technology that is global scale but also sensitive to the local context of every piece of information. Special sensitivity is required in the diverse contexts of foreign languages, from Chinese to Russian to Arabic and beyond.
• Taming Name Variants
  When an individual on a government watch-list applies for a job, receives some correspondence, or crosses a border he may be missed if his name is spelled differently than it is on the watchlist. Modern name matching technology plugs this hole by handling the ever broadening name variations in our increasingly multicultural and multilingual world.
• Revealing Who’s In Your Documents
  How many people, places, or organizations are in your documents that you’ve never heard of? How much new information about the ones you have heard of are you missing? Cutting-edge solutions can connect disparate mentions of real-world entities across data collections so that you know who’s there and understand what they’re doing.
• Enriching Data with Every Interaction
  While the amount of data continues to increase, the amount of human attention does not. So it’s important to get the most out of every time a human interacts with your data. When an analyst spell-checks the names in a report, they can be automatically enriched with links to the entities they mention. When a translator references how to spell ‘Dakar’, his translation can remember whether it’s the one in Bangladesh or Senegal.