5. The computer-implemented method of claim 1 , further comprising: excluding duplicate documents from the search result set.
1. A computer-implemented method in a computer system for identifying phrases related to an item from a set of one or more documents, the method comprising: under control of one or more computer systems configured with executable instructions, receiving a description of the item; performing a search across a corpus of documents to retrieve a search result set of a plurality of documents, wherein each document in the plurality of documents in the search result set is related to the item based on the description, and wherein each document in the plurality of documents in the search result set comprises a respective plurality of words; determining a first frequency of each word in the plurality of documents of the search result set, wherein the first frequency corresponds to an average number of times each word appears in each document of the search result set; determining a second frequency of each word in the plurality of documents of the search result set, wherein the second frequency corresponds to an average number of times each word appears in each document of the corpus of documents; for each word of the plurality of words, determining a frequency score that is based on a difference between the corresponding first frequency and the corresponding second frequency, wherein the frequency score indicates a level of relevance of the word to the item; identifying a set of highly related words to the item based on a threshold number of the plurality of words with the highest frequency scores; selecting at least one anchor word from the set of highly related words; and identifying at least one phrase including the at least one anchor word by searching each of the plurality of documents in the search result set for the at least one anchor word and identifying at least one word proximal to the at least one anchor word within the plurality of documents.