Systems and methods of natural language processing and statistical analysis to identify matching categories

摘要

Combining the natural language processing of product descriptions and statistical analysis of payment data to classify consumers based on products purchased and merchants based on products sold. Systems and methods use natural language processing techniques to interpret the descriptions of item level purchase data to classify products that have been purchased by customers into micro-categories. Statistical deviation methods are applied to the payment data to calculate normalized mean product cost, after removing outliers. After determining the micro-categories of the products purchased and the mean product cost of the purchased products, the system and methods classify consumers and merchants into categories based at least in part on the product micro-categories, mean costs, and relative volume of product types sold by merchants to predict which consumers are likely to purchase from which merchants.