Patent ID: 11914630
Assignee: PAYPAL, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A method, comprising:
accessing, by a computer system, a first dataset that includes a plurality of first unlabeled text data in a freeform format; and
applying text data category labels to one or more portions of the first dataset by applying one or more classifiers to the plurality of first unlabeled text data in the first dataset using a transformer-based machine learning algorithm on the computer system, wherein the one or more classifiers are generated by:
generating one or more labelling functions for a plurality of text data categories, wherein the one or more labelling functions are generated based on contextual patterns for the plurality of text data categories;
accessing a second dataset that includes a plurality of second unlabeled text data in the freeform format;
determining a set of probabilistic labels for the plurality of text data categories by applying the generated labelling functions to the second unlabeled text data using an unsupervised machine learning algorithm with a limited number of truths by having a majority of the second unlabeled text data be unlabeled; and
generating the one or more classifiers for the transformer-based machine learning algorithm by applying the set of probabilistic labels to the second unlabeled text data in the transformer-based machine learning algorithm.