Abstract: First indicators may be obtained, each first indicator associated with a respective first web page document. A classification type of each first web page document may be determined, based on the respective first indicators and a respective first content of each first web page document. A set of candidate documents that are included in the first web page documents may be selected, based on the determined classification type. For each one of the candidate documents, a group of first attention geography items and a group of first content geography items associated with the each one of the candidate documents may be determined. A determination may be made whether each of the candidate documents includes a first hyperlocal content page document, based on the group of first attention geography items and the group of first content geography items that are associated with the candidate documents.

Abstract: Systems and methods are disclosed for analyzing a set of documents by building a positive set histogram; selecting phrases from the positive set histogram; modifying the frequency statistics in the histogram using the selected phrases; identifying one or more potential phrase-acronym pairs; selecting a subset of phrase-acronym pairs from the potential pairs; adding a new feature for each selected phrase-acronym (phrase ? acronym) pair to a positive set histogram; determining a value for each new feature; identifying one or more child concepts based on an updated histogram; grouping the one or more child concepts; and determining a child concept group coverage for one or more documents.