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PRODUCT FEATURE EXTRACTION FROM STRUCTURED AND UNSTRUCTURED TEXTS USING KNOWLEDGE BASE
PRODUCT FEATURE EXTRACTION FROM STRUCTURED AND UNSTRUCTURED TEXTS USING KNOWLEDGE BASE
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机译:基于知识库的结构化和非结构化文本产品特征提取
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摘要
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.
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