9. A system comprising: a corpus module configured to receive text from a plurality of documents; a text selection module configured to, for each document of the plurality of documents, segment the received text of the particular document of the plurality of documents to create a set of segments, each segment including two or more words; for each of at least a subset of the segments of the set of segments: calculate a document frequency statistic indicating a frequency of a particular segment of the at least a subset of the segments within the particular document of the plurality of documents, compare the document frequency statistic indicating the frequency of the particular segment within the particular document to a frequency threshold, and determine if the particular segment is a segment of potential interest of the at least the subset of the segments of the set of segments based on the comparison of the document frequency statistic of the particular segment indicating the frequency of the particular segment within the particular document to the frequency threshold; a distance module configured to calculate a distance between the particular document of the plurality of documents and each of the other documents of the plurality of documents using a text metric; a search database configured to store the received text, the segments of potential interest of each document, the distances, and the document frequency statistics; a search module configured to receive a search query and perform a search on the received text of the plurality of documents to generate search results, the search results including at least a subset of documents of the plurality of documents; a partition module configured to: divide the at least the subset of the documents of the plurality of documents of the search results between a first set and a guide set, for each of the documents of the first set, determine a closest document of the guide set using the distances for that particular document to create partitions of documents, and for each partition of documents: retrieve the document frequency statistics of each segment of potential interest of each document in the particular partition of documents, and select a predetermined number of segments of potential interest of the documents in the particular partition of documents based on a highest frequency statistic of the retrieved document frequency statistics; and a label module configured to: for each partition, determine a label for that particular partition of documents including at least one of the predetermined number of segments of potential interest of the documents in that particular partition of documents, and provide the labels for each partition for display.
12. The system of claim 9 wherein the document frequency statistic is calculated using a log likelihood function, wherein calculating the document frequency statistic comprises: determining an expected segment score based on a total number of times the particular segment is within the plurality of documents relative to a total number of segments in the plurality of documents; determining an observed score based on a total number of times the particular segment is within the particular document of the plurality of documents; and generating a log likelihood function score based on the observed score relative to the expected score.