Advertisement
News
Advertisement

Automatically Analyze the Torrent of WikiLeaks Documents

Tue, 12/14/2010 - 5:47am
NEW YORK, /PRNewswire/ -- Appinions Inc. is offering organizations access to its novel W3 application that automatically extracts who is saying what about whom in WikiLeaks documents.

Appinions W3™ extracts and summarizes opinions from vast volumes of data to give immediate insight into what people and organizations were saying, thinking and feeling about specific issues or people. Appinions W3 is unique in its ability to analyze data on the massive scale required should WikiLeaks' founder Julian Assange's threat of a single, massive dump of 250,000 cables become a reality.

  "Obviously, we hope that no additional harmful information is released," says Larry Levy, Appinions' co-founder and chief executive. "However, we should be prepared for the deluge that is threatened. We have configured our W3 application to extract the emotive information contained in these cables in real-time so it can be acted upon immediately."

Appinions' W3("W cubed") applications let users search for opinions by keyword, topic or opinion holder. It offers a quick way to understand what people are saying on specific media sites or across the Web about any topic, e.g., the political landscape, sports, celebrities or any other theme.

The efficacy of Appinions' W3 for WikiLeaks has been demonstrated using the 1,095 documents publicly released to date. Interested parties can register for access to Appinions W3 for WikiLeaks to see how it works on these cables at: http://appinions.com/contact/configure-w3/ or email wikileaks@appinions.com for more information.

  Appinions today launched a new website that helps publishers attract readers and keep them engaged longer; and research companies conducting marketing, product management and competitive intelligence research, quickly gather opinions and identify the key opinion holders and influencers.

Advertisement

Share this Story

X
You may login with either your assigned username or your e-mail address.
The password field is case sensitive.
Loading