System for natural language processing of safety incident data

A method comprising, by one or more processors of an incident server:

• (a) causing an incident submission interface to display on a display of a user device, and receiving a set of partial inputs via the incident submission interface, wherein the set of partial inputs comprises a provisional incident description that is received as unstructured data;
• (b) analyzing the provisional incident description to determine a quality score that indicates a level of descriptiveness and, in response to determining that the quality score is less than a maximal quality score, displaying one or more suggested changes via the incident submission interface, wherein the incident submission interface displays one or more user input controls to be selected by a user in response to the one or more suggested changes;
• (c) in response to determining that the one or more suggested changes are displayed, receiving a user selection, via the one or more user controls, to cause the incident submission interface to revise the provisional incident description and receiving an incident dataset that includes an incident description as unstructured data via the incident submission interface, and pre-processing the incident description using a pre-processing function and based on a set of dictionaries, wherein each dictionary of the set of dictionaries defines a plurality of words and is associated with a dictionary type and a dictionary scope;
• (d) using a core component function and based on the set of dictionaries, identifying a plurality of risk words in the incident description and mapping each of the plurality of risk words to one of a plurality of categorical risks to produce a set of core components;
• (e) using a natural language processing (“NLP”) function, comparing the set of core components to a set of prior incident data to identify one or more prior incident datasets that are similar to the incident dataset, wherein the set of prior incident data comprises a plurality of prior incident datasets that each describe a past incident;
• and
• providing an incident alert to one or more user devices based on the one or more identified prior incident datasets.

A system comprising:

• (a) an incident server comprising one or more processors;
• (b) a set of dictionaries, wherein each dictionary of the set of dictionaries defines a plurality of words and is associated with a dictionary type and a dictionary scope;
• and
• (c) a set of prior incident data, wherein the set of prior incident data comprises a plurality of
• prior incident datasets that each describe a past incident;
• wherein the one or more processors are configured to:
• (i) cause an incident submission interface to display on a display of a user device, and receive a set of partial inputs via the incident submission interface, wherein the set of partial inputs comprises a provisional incident description that is received as unstructured data;
• (ii) analyze the provisional incident description to determine a quality score that indicates a level of descriptiveness and, in response to determining that the quality score is less than a maximal quality score, display one or more suggested changes via the incident submission interface, wherein the incident submission interface displays one or more user input controls to be selected by a user in response to the one or more suggested changes;
• (iii) in response to determining that the one or more suggested changes are displayed, receiving a user selection, via the one or more user controls, to cause the incident submission interface to revise the provisional incident description and receive an incident dataset that includes an incident description as unstructured data via the incident submission interface, and pre-process the incident description using a preprocessing function and based on the set of dictionaries;
• (iv) using a core component function and based on the set of dictionaries:
• (A) identify a plurality of risk words in the incident description based on one or more risk word dictionaries of the set of dictionaries;
• (B) for each risk word of the plurality of risk words, identify a corresponding categorical risk of the plurality of categorical risks;
• and
• (C) replace each risk word in the incident description with the corresponding categorical risk for that risk word to produce a set of core components;
• (v) using a natural language processing (“NLP”) function, compare the set of core components to the set of prior incident data to identify one or more prior incident datasets that are similar to the incident dataset;
• and
• (vi) provide an incident alert to one or more user devices based on the one or more identified prior incident datasets;
• wherein a total number of risk words defined in the one or more risk word dictionaries is greater than a total number of the plurality of categorical risks, and wherein the one or more processors includes at least one central processing unit (“CPU”), and does not include any graphical processing unit (“GPU”).