Abstract: A method for predicting a customer trust target metric includes receiving, from a business, a customer trust target metric definition defining a customer trust target metric customized by the business. The method also includes obtaining sentiment data representative of one or more interactions between a customer and the business. The sentiment data includes textual feedback data and non-textual metadata. The method also includes determining, using a natural language processing model, a sentiment score of the sentiment data. Further, the method includes predicting, using the sentiment score and the customer trust target metric definition, a respective customer trust target metric for a respective one of the one or more interactions between the customer and the business. The method also includes sending, to the business, the predicted respective customer trust target metric.

Abstract: The disclosure is directed to systems, methods, and apparatus, including non-transitory computer-readable media, for performing quota resolution on a cloud computing platform. A system can receive user account data from one or more user accounts representing a first user. The system can generate a plurality of features from the user account data characterizing interactions between the first user and the computing platform. From at least the plurality of features, the system can generate a score at least partially representing a predicted likelihood that the additional computing resources allocated to the first user account will be used in violation of one or more predetermined abusive usage parameters during a predetermined future time period.

Abstract: Low molecular weight graft copolymer comprising a synthetic component formed from at least one or more olefinically unsaturated carboxylic acid monomers or salts thereof, and a natural component formed from a hydroxyl-containing natural moiety. The number average molecular weight of the graft copolymer is about 100,000 or less, and the weight percent of the natural component in the graft copolymer is about 50 wt % or greater based on total weight of the graft copolymer. Processes for preparing such graft copolymers are also disclosed.