Explanatory content generated from your big data

We use natural language processing to create multimedia content, explaining the "who, what, where, and when" of the story.

The Opportunity

There are a lot of new projects using "big data" from public databases to improve journalism, but few are using news media's own big data. That's exactly what we're doing with Points Mentioned: mining real time news feeds and archives to create new products and services.

What is Points Mentioned?

Points Mentioned is a tool for newspapers to create interactive, explanatory content from their own big data. Using natural language processing, our software automatically structures the newspaper content around the who, what, where, and when of the story.  See the video below for a demo of our interactive maps on our hometown paper, the Finger Lakes Times.

We've developed apps and widgets that use this data in creative new ways. One example is News Bayou, our mobile app for hyperlocal news discovery, which uses your location to deliver a personalized news feed of what’s happening near you.



Using machine learning techniques, you can convert your newspaper's archives into a unique community knowledge base for your journalists and readers. By identifying the people, organizations, places, events, dates, periods, awards, etc. mentioned in your articles with natural language processing you can "learn" the relationships between them.

The Products

Membership Options

Points Mentioned Geo Points Mentioned Entities Points Mentioned Developer
Natural Language Processing x x x
Interactive Maps x x x
Location Editor x x x
News Bayou Widget x x x
Geotargeted Advertising x x x
Related Stories x x
Interest Targeting x x
Timeline x x
Related Entity Search x x
Database API x
White Labeling x
Price Free $10/month $25/month

Media Partners