CPC G06F 40/30 (2020.01) [G06F 16/95 (2019.01); G06F 40/295 (2020.01); G06N 5/045 (2013.01); G06N 20/00 (2019.01); G06N 3/044 (2023.01); G06N 3/08 (2013.01); G06Q 40/02 (2013.01)] | 20 Claims |
1. A method comprising:
retrieving, by a processor, unstructured data from an internet data source, wherein the retrieval is performed as a parallel process to evaluate data from various data sources;
preprocessing, by the processor, the unstructured data by performing a part-of-speech tagging process;
inputting, by the processor, the preprocessed unstructured data into a machine learning model and a sentiment scoring engine, wherein the machine learning model and the sentiment scoring engine are trained to identify data of interest to be used in a decisioning process;
identifying, by the processor, the data of interest from the preprocessed unstructured data in response to an output of the machine learning model and the sentiment scoring engine indicating that the preprocessed unstructured data has a probability of being of interest; and
generating, by the processor, a data alert in response to identifying the data of interest, wherein the data alert comprises at least one of the preprocessed unstructured data, a web link, or an output of at least one of the machine learning model or the sentiment scoring engine.
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