CATEGORIZING DATA BASED ON CROSS-CATEGORY RELEVANCE

摘要

Techniques for auto-categorization data may be provided. For example, a computing service may be implemented to analyze data sets. A first data set may include data strings pre-categorized in various groups. For a group, the computing service may generate a relevant data string representative of the group by considering how relevant that data string may be to the group and to other groups. A second data set may include an uncategorized data string. The computing service may match the uncategorized data string to the relevant data string and, accordingly, may categorize the uncategorized data string as belonging to the group.

主权项

1. A computer-implemented method, comprising:
receiving, by a computer system, a plurality of reviews associated with items offered at an electronic marketplace, the plurality of reviews categorized in a plurality of categories, the plurality of categories comprising at least an item provider category; generating, by the computer system, a plurality of phrases based at least in part on the plurality of reviews; for a particular category, determining, by the computer system, a key phrase from the plurality of phrases based at least in part on probabilities of use of the key phrase across the plurality of categories; receiving a new review from a first computing device of an item recipient, the new review associated with an item offered by an item provider at the electronic marketplace; receiving a request from a second computing device of the item provider to remove the new review; categorizing the new review in a category of the plurality of categories based at least in part on matching the new review to a corresponding key phrase associated with the category; and removing the new review if the category is different from the item provider category.