Abstract: A method for categorizing text strings assigns text strings to topical categories. A search engines retrieves and ranks a list of Uniform Resource Locators (URLs) for each test string. The most highly-ranked URLs for a set of text strings form a whitelist of pre-approved text strings that are assumed to correlate closely with category meaning. Incorrectly categorized text strings are identified by scoring a list of URLs retrieved by a search engine for each text string, comparing each score to the whitelist position of the text string, flagging text strings with scores that deviate from whitelist position by at least a threshold amount, and reassigning flagged text strings to categories with the most similar sets of retrieved URLs. An alternate method categorizes an unknown text string by extracting the text content from the URLs, classifying the content with human-created vocabulary rules and aggregating categories found in extracted text to estimate the correct category.

Abstract: A method for categorizing text strings assigns text strings to topical categories. A search engines retrieves and ranks a list of Uniform Resource Locators (URLs) for each test string. The most highly-ranked URLs for a set of text strings form a whitelist of pre-approved text strings that are assumed to correlate closely with category meaning. Incorrectly categorized text strings are identified by scoring a list of URLs retrieved by a search engine for each text string, comparing each score to the whitelist position of the text string, flagging text strings with scores that deviate from whitelist position by at least a threshold amount, and reassigning flagged text strings to categories with the most similar sets of retrieved URLs. An alternate method categorizes an unknown text string by extracting the text content from the URLs, classifying the content with human-created vocabulary rules and aggregating categories found in extracted text to estimate the correct category.

Abstract: A method for categorizing text strings assigns text strings to topical categories. A search engines retrieves and ranks a list of Uniform Resource Locators (URLs) for each test string. The most highly-ranked URLs for a set of text strings form a whitelist of pre-approved text strings that are assumed to correlate closely with category meaning. Incorrectly categorized text strings are identified by scoring a list of URLs retrieved by a search engine for each text string, comparing each score to the whitelist position of the text string, flagging text strings with scores that deviate from whitelist position by at least a threshold amount, and reassigning flagged text strings to categories with the most similar sets of retrieved URLs.