DETECTING AND VALIDATING IMPROPER HOMEOWNER EXEMPTIONS THROUGH DATA MINING, NATURAL LANGUAGE PROCESSING, AND MACHINE LEARNING

摘要

Described are medias, systems, and computer-implemented methods to detect improper residency status by performing a data mining task to data source to detect one or more improper residency indicia, applying a machine learning algorithm to identify an initial candidate, calculating a probability that the initial candidate has an improper residency status, and validating the detection. Further described are medias, systems, and computer-implemented methods to detect improper occupancy tax status. Further described are medias, systems, and computer-implemented methods to detect an improper homeowner exemption.