METHODS AND SYSTEMS FOR IMPROVING MACHINE LEARNING PERFORMANCE

摘要

Systems and methods are presented for providing improved machine performance in natural language processing. In some example embodiments, an API module is presented that is configured to drive processing of a system architecture for natural language processing. Aspects of the present disclosure allow for a natural language model to classify documents while other documents are being retrieved in real time. The natural language model and the documents are configured to be stored in a stateless format, which also allows for additional functions to be performed on the documents while the natural language model is used to continue classifying other documents.

主权项

1. A method for conducting natural language processing, the method comprising:
generating a natural language model by a natural language platform; storing the natural language model in a first stateless format; accessing a plurality of documents to be classified by the natural language model; storing the plurality of documents in a second stateless format; and classifying, by the natural language platform, at least one document among the plurality of documents while the at least one document is stored in the second stateless format using the natural language model while stored in the first stateless format.