Abstract: A method for computing system learning of a merchant category code includes accessing a social media platform using administrative information of a merchant to obtain social media information of the merchant, and performing natural language processing on the social media information to add key terms to a merchant terminology corpus defined for the merchant. The key terms in the first merchant terminology corpus are normalized. For each key term in the first merchant terminology corpus and for each merchant category code, a frequency value for the merchant category code is calculated to obtain multiple frequency values. The method further includes aggregating frequency values across the first key terms in the first merchant terminology corpus to select the matching merchant category code of the merchant, and applying the matching merchant category code to the merchant.

Abstract: The invention relates to a method for live rule deployment with a deployment log. The method includes executing rules of a first rules package in response to one or more requests from applications. Also, the method includes receiving an identifier. The identifier is received from a configuration service, and the identifier identifies a location from which a latest rules package can be obtained. The method further includes determining, using the identifier, that a new rules package is available for deployment. Still yet, the method includes, in response to determining that the new rules package is available, requesting, using the location, a second rules package from a rules package manager. Further, the method includes receiving the second rules package from the rules package manager, and replacing the first rules package with the second rules package by deploying the second rules package.