Invention Application
- Patent Title: PRODUCT FEATURE EXTRACTION FROM STRUCTURED AND UNSTRUCTURED TEXTS USING KNOWLEDGE BASE
-
Application No.: US17120583Application Date: 2020-12-14
-
Publication No.: US20220188895A1Publication Date: 2022-06-16
- Inventor: Nedim Lipka , Michele Saad , Georgios Theocharous
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06Q30/06
- IPC: G06Q30/06 ; G06F40/289 ; G06N5/02 ; G06N5/04

Abstract:
Unstructured texts associated with a product is received, where the unstructured texts include, for example, a title of the product, one or more reviews of the product, questions and/or answers associated with the product. A phrase in an unstructured text is identified. A first knowledge base is searched, to identify that the phrase is a feature value that is associated with a feature. For example, the first knowledge base lists the feature value to be an instance of the feature. Accordingly, a tuple is generated, where the tuple includes the product as a subject, the feature as a predicate, and the feature value comprising the phrase as an object. A second knowledge base is updated with the tuple. The second knowledge base is usable for processing queries about the product. For example, the second knowledge base is used to generate a result of a query about the product.
Information query