Our mission: Give everyone power to make more sense of document collections.
Example: Twitter lists provide a great way to track important players, and Sherlock can pull out the vital information from any Twitter list.
We call it the Pulse. Here's the live pulse of US political discourse, monitored automatically to identify emphasis, by party and chamber.
What's happening in the Senate ?
Inside the mind of Congress
Sherlock works on any language, including Arabic, and is upgrading to provide Twitter list monitoring as a service, with early release scheduled for Q1 2018.
In the meantime, here are some ideas on how you could use Sherlock.
"Meme Machines’ Sherlock system for deep understanding of text is a revelation. In years of working on machine learning, the tough nut to crack has been methodologically sound textual analysis that integrates with other structured forms of predictive analytics. We found Sherlock combined rigour with elegance to power the deep textual insights we needed in finance and technology."
Professor Michael Mainelli, Executive Chairman Z/Yen
Z/Yen is the City of London's leading commercial think-tank, founded in 1994 to promote societal advance through better finance and technology.
"Sherlock’s correlation engine seems to me like it could become as common as search button functionality is today: an automated way to make sense of complex document collections."
Vinay Gupta, Associate Fellow at the Institute for Security and Resilience Studies, University College, London University