
Our original algorithms, developed through years of MIT-based research in natural language processing, rapidly ‘read’ through online data to detect perception and experience. By determining context, we identify consumer actions, such as their decisions. Analyzing these decisions, en masse, leads to an accurate picture of consumer behavior unlike counting (key)words or using dictionaries to determine if a given word is “positive” or “negative”.