cageymaru
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The police force in Spain is using a tool with over 80% accuracy that can identify false insurance claims based on the description of the perpetrator, types of items listed, finer details of the incident and more. The Veripol software uses machine learning and artificial intelligence to identify false claims to keep the police from wasting their time and effort. Words such as iPhone and Samsung will alert the system of a possible false claim whereas bicycle and necklace are correlated with true crimes.
VeriPol is partly based on a process known as natural language processing -- a branch of artificial intelligence that helps computers understand, interpret and manipulate human language. For example, the computer tool uses algorithms to identify and quantify various features in text, such as adjectives, acronyms, verbs, nouns, punctuation marks and numbers and figures. Historical police reports that were known to be false have been fed through VeriPol so that it could code each one and begin to 'learn' the specific patterns.
VeriPol is partly based on a process known as natural language processing -- a branch of artificial intelligence that helps computers understand, interpret and manipulate human language. For example, the computer tool uses algorithms to identify and quantify various features in text, such as adjectives, acronyms, verbs, nouns, punctuation marks and numbers and figures. Historical police reports that were known to be false have been fed through VeriPol so that it could code each one and begin to 'learn' the specific patterns.