Abstract: A system performs operations that include receiving, via first computing environment, a request to process text data using a first natural language processing (NLP) model. The operations further include accessing configuration data associated with the NLP model, where the configuration data generated using a domain specific language that supports a plurality of preprocessing modules in a plurality of programming languages. The operations also include selecting, based on the configuration data, one or more preprocessing modules of the plurality of preprocessing modules, generating, based on the configuration data, a preprocessing pipeline using the one or more preprocessing modules, and generating preprocessed text data by inputting the text data into the preprocessing pipeline. The preprocessed text data is provided to the first NLP model.

Abstract: A system performs operations that include receiving, via first computing environment, a request to process text data using a first natural language processing (NLP) model. The operations further include accessing configuration data associated with the NLP model, where the configuration data generated using a domain specific language that supports a plurality of preprocessing modules in a plurality of programming languages. The operations also include selecting, based on the configuration data, one or more preprocessing modules of the plurality of preprocessing modules, generating, based on the configuration data, a preprocessing pipeline using the one or more preprocessing modules, and generating preprocessed text data by inputting the text data into the preprocessing pipeline. The preprocessed text data is provided to the first NLP model.

Abstract: Various systems, mediums, and methods to process requests involve retrieving a first pattern detection model that is configured to detect a plurality of first patterns based on features of the first patterns. Processing the requests also includes retrieving a plurality of second patterns and selecting a plurality of second features for detecting the plurality of second patterns. Processing the requests further includes generating a second pattern detection model by incorporating one or more of the second feature into the first pattern detection model to create an interim pattern detection model and to train the interim model by second patterns. Then a request having a request pattern is received and based on the second detection model a pattern detection score is generated for the received request. The request is processed based on the detection score. In some embodiments, the user activity patterns are associated with the requests.