Smart Signal Parser (SSP)
SSP provides back-end categorization and analysis of signals of interest to maximize the actionable content of real time intelligence. SSP utilizes N-Gram technology to find commonalities among signals. N-Gram technology is especially adept at extracting useful information in cases where little additional information is available about the signal.
The information from SSP can be used to categorize a large stream of inputs into more actionable groups. For instance, SSP can filter out a large percentage of uninteresting signals, leaving a smaller group of interesting signals for more in-depth analysis. Or, SSP can correlate a real-time signal with a group of signals previously found to be associated with significant events, and thus provide actionable intelligence.