Systems and methods for predicting vehicle repairs using natural language processing
AssigneeHoneywell International Inc.
InventorRyan M. KRENZ
Life of this patent
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Abstract
A computer-implemented method for predicting vehicle repairs based on a natural language processing (NLP). The method may include: receiving, by one or more processors, natural language data from a user interface; converting, by the one or more processors, the natural language data into text data; generating, by the one or more processors, natural language processed data (NLPD) by performing NLP on the text data and/or the natural language data; comparing, by the one or more processors, the NLPD to repair data stored in a repair database; determining, by the one or more processors, predicted repair data based on the comparing of the NLPD and the repair data; and transmitting, by the one or more processors, the predicted repair data to the user interface.
Claims20
A computer-implemented method for predicting vehicle repairs based on a natural language processing (NLP), the method comprising:
- receiving, by one or more processors, natural language data from a user interface;
- converting, by the one or more processors, the natural language data into text data;
- generating, by the one or more processors, natural language processed data (NLPD) by performing NLP on the text data and/or the natural language data;
- comparing, by the one or more processors, the NLPD to repair data stored in a repair database;
- determining, by the one or more processors, predicted repair data based on the comparing of the NLPD and the repair data;
- and
- transmitting, by the one or more processors, the predicted repair data to the user interface.
A computer-implemented system for predicting vehicle repairs based on a natural language processing (NLP), the computer-implemented system comprising:
- a memory storing instructions, and
- one or more processors configured to execute the instructions to perform operations including:
- receiving, by one or more processors, natural language data from a user interface;
- converting, by the one or more processors, the natural language data into text data;
- generating, by the one or more processors, natural language processed data (NLPD) by performing NLP on the text data and/or the natural language data;
- comparing, by the one or more processors, the NLPD to repair data stored in a repair database;
- determining, by the one or more processors, predicted repair data based on the comparing of the NLPD and the repair data;
- and
- transmitting, by the one or more processors, the predicted repair data to the user interface.
A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of a computer system, cause the computer system to perform a method of predicting vehicle repairs based on a natural language processing (NLP), the method comprising:
- receiving, by one or more processors, natural language data from a user interface;
- converting, by the one or more processors, the natural language data into text data;
- generating, by the one or more processors, natural language processed data (NLPD) by performing NLP on the text data and/or the natural language data;
- comparing, by the one or more processors, the NLPD to repair data stored in a repair database;
- determining, by the one or more processors, predicted repair data based on the comparing of the NLPD and the repair data;
- and
- transmitting, by the one or more processors, the predicted repair data to the user interface.
Dependencies are inferred from the claim text.