Amazon Technologies, Inc.

Amanda Dee Bottorff

Weiwei Cheng

Sandeep Ranganathan

Debprakash Patnaik

Gabriel Parent

Matthew McDonald Furlong

An unsupervised keyword extraction process is disclosed. A single input document can be analyzed to identify multiple candidate keywords by utilizing splitting terms. A keyword score is calculated for each of the candidate keywords. The keyword score for a particular candidate keyword is determined based on the length of the candidate keywords that contain the candidate keyword and the frequency of the words appearing in the candidate keywords. One or more keywords having the highest keyword scores are selected as the extracted keywords. The extracted keywords can be used in applications, such as refining search results, providing suggested search terms, or improving the match rate of a network page at a search engine.

Extracting keywords from a document

Disclosed are various embodiments for performing data search queries for descriptive semantics extracted from item reviews. Search queries that resulted in a selection of a browse node of an item taxonomy are identified and various items associated with the browse node are determined. Customer reviews for the various items are used to phrases used in the customer reviews that also appear in the search queries. The phrases may be ranked based at least in part on a polarity metric that describes a subjectivity, sentiment, and/or coverage of the phrase. Phrases with a rank exceeding a predefined threshold may be made available for use by a search component of a network site.

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Amanda Dee Bottorff