| CPC G06F 16/2228 (2019.01) | 20 Claims |

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1. A computer-implemented method of analyzing data specifications, the method including:
receiving a plurality of data specifications associated with a plurality of computing components;
tokenizing the data specifications;
performing linear support vector classification (SVC) of the tokenized data specifications to classify each of the computing components into a respective category of computing component, wherein each category of computing product is associated with one or more attributes;
for each attribute associated with the data specifications:
identifying, from a plurality of models, one or more models associated with the attribute;
extracting, using the identified models, the attribute data for the attribute associated with the data specifications; and
storing, at an index and for each computing component, the category of the computing component and the attribute data for each attribute associated with the category of the computing component.
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