1. A method for extracting semantic information from unstructured text associated with a plurality of content items, each content item having associated metadata, the method comprising: selecting an ordered set of scale values for a plurality of scales; determining for each scale value at least one subset of metadata from one or more content items related to the scale value; determining for each of the scales a statistic on occurrences of the one or more content items associated with the subset of metadata, the statistic comprising a number of instances of the one or more content items in a respective scale; aggregating the statistics for each scale and determining therefrom a semantic level for each scale; determining which of the plurality of scales correspond to the semantics of the one or more content items on the basis of the semantic level; identifying one or more clusters of scales having a semantic level that exceeds a threshold value of occurrences; and extracting semantic information from the metadata associated with the one or more content items of one or more identified cluster of scales.