Sentiment extraction from consumer reviews for providing product recommendations
First Claim
Patent Images
1. A method for extracting quotations related to a product from a document, comprising:
- building a span query relevant to a feature associated with the product and a sentiment about the feature by;
building syntactic templates from a lexicography relevant to the feature and the sentiment about the feature, wherein each syntactic template corresponds to multiple phrasings of the same meaning, anddetermining a first semantic template relevant to the syntactic templates;
receiving a document;
applying the span query to the document to generate a span query result, wherein the span query result includes a quotation from the document relevant to the feature and the sentiment about the feature, the quotation satisfying the first semantic template and including words within relative positions as constrained by the span query; and
storing the span query result.
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Abstract
A system and method for recommending a product to a user in response to a query for a product with a feature wherein the recommendation is accompanied by a quotation expressing a sentiment about the feature or the product.
38 Citations
22 Claims
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1. A method for extracting quotations related to a product from a document, comprising:
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building a span query relevant to a feature associated with the product and a sentiment about the feature by; building syntactic templates from a lexicography relevant to the feature and the sentiment about the feature, wherein each syntactic template corresponds to multiple phrasings of the same meaning, and determining a first semantic template relevant to the syntactic templates; receiving a document; applying the span query to the document to generate a span query result, wherein the span query result includes a quotation from the document relevant to the feature and the sentiment about the feature, the quotation satisfying the first semantic template and including words within relative positions as constrained by the span query; and storing the span query result. - View Dependent Claims (2, 3, 4, 5, 10, 11, 14, 16)
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6. A non-transitory computer-readable medium having computer-readable program instructions stored therein, the computer-readable program instructions configured to, when executed by a computer, cause the computer to:
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build a span query relevant to a feature and a sentiment about the feature by; building syntactic templates from a lexicography relevant to the feature and the sentiment about the feature, wherein each syntactic template corresponds to multiple phrasings of the same meaning; and determining a first semantic template relevant to the syntactic templates; receive a document; apply the span query to the document to generate a span query result, wherein the span query result includes a quotation from the document relevant to the feature and the sentiment about the feature, the quotation satisfying the first semantic template and including words within relative positions as constrained by the span query; and store the span query result. - View Dependent Claims (7, 8, 9, 12, 13, 15, 17)
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18. An apparatus, comprising:
a processor configured to; build a span query relevant to a feature associated with a product and a sentiment about the feature by; building syntactic templates from a lexicography relevant to the feature and the sentiment about the feature, wherein each syntactic template corresponds to multiple phrasings of the same meaning, and determining a first semantic template relevant to the syntactic templates; receiving a document; apply the span query to the document to generate a span query result, wherein the span query result includes a quotation from the document relevant to the feature and the sentiment about the feature, the quotation satisfying the first semantic template and including words within relative positions as constrained by the span query. - View Dependent Claims (19, 20, 21, 22)
Specification