Product feature extraction from structured and unstructured texts using knowledge base

A system for categorizing features of products, the system comprising:

• one or more processors;
• and
• a knowledge base management system executable by the one or more processors to
• identify a phrase in an unstructured text associated with a product,
• identify, using a first knowledge base, the phrase to be a feature value corresponding to a feature,
• generate a tuple comprising (i) the product as a subject, (ii) the feature as a corresponding predicate, and (iii) the feature value comprising the phrase as a corresponding object,
• update a second knowledge base with the tuple,
• receive a query about one or more products, and
• generate a result of the query, using the updated second knowledge base.

A computer program product including one or more non-transitory machine-readable mediums encoded with instructions that when executed by one or more processors cause a process to be carried out, the process comprising:

• searching a text included in a description of a product, one or more reviews of the product, one or more questions about the product, and/or one or more associated answers, to identify a phrase within the text;
• identifying, based on querying a knowledge base, the phrase to be a feature value associated with a feature of the product;
• and
• adding, in a knowledge graph, (i) the feature value comprising the phrase as a tail node, and (ii) the feature as an edge that couples the tail node to a head node, wherein the product comprises the head node.