The Social Analysis and Intelligence Group (SAIG) has launched a new big data analysis system tool that provides users, especially governments, military, and police organizations, with the ability to analyze, monitor and predict social violence.

SAIG, founded in 2014, developed the product called "Second Sight" as a sentiment analysis system that will help organizations anticipate social behaviors and inform them about escalating violence.

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The new system offers many different features such as social media analysis and monitoring including national-level behavioral analysis, dashboard features, organizations, and actor profiling.

Founder of SAIG Michael Toney said, "With increasing social unrest and erupting civil violence, government and police organizations around the world need to stay as up-to-date as possible,"

"In a perfect world, we would be able to predict violent protests before they ever happened. Second Sight is taking us one step closer to that world," he added.

The system's behavioral analysis algorithm, according to SAIG, enables the extraction of large amounts of data from social media sites, such as Facebook and Twitter.

Second Sight also enables organizations to analyze crime assaults, weather, and natural disasters around the globe.

According to SAIG, Second Sight could have been very useful for the small businesses during the recent Baltimore riots. If the businesses were informed beforehand of the growing violence at that time, they would have prevented the damages.

Many organizations and research groups have been turning towards big data analysis to enable them to extract useful information from large amounts of data.

A group of researchers from the Florida Atlantic University in the U.S. are now working on a new project that aims to develop a model of the spread of the Ebola virus using big data analysis tools.

They intend to pull information from social media sites including Twitter, Facebook, and Google.

The system they are using is called "LexisNexis," which is currently being used by many industries such as financial services, insurance, retail, healthcare, government, and communications.

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