1. A computer-implemented method of extracting and mining of quote data across multiple languages, the method comprising: retrieving, from a plurality of quote sources, a plurality of commentary summarizations, wherein each commentary summarization is embodied as a machine-readable data structure and wherein the plurality of commentary summarizations include information in at least two or more languages; for each commentary summarization: identifying, within the commentary summarization, quote data, wherein the quote data represents a quote from a commentator; creating a quote tuple for the quote data, the quote tuple including information associated with quantifiable aspects of the quote data; and storing, in a quote tuple repository, the quote tuple; mining, for quote analysis information, the quote tuple repository, including: identifying a particular topic of interest; identifying a commentator of interest; determining, for the commentator of interest, the commentator's position on the particular topic of interest; and detecting, for the commentator of interest, a change in the commentator's position on the particular topic of interest including using natural language processing techniques to: examine a predetermined number of most recent quotations by the commentator of interest; and determine whether the predetermined number of most recent quotations by the commentator of interest represent a position that is similar to a position expressed by historical quotations of the commentator of interest; and presenting, to a user, the quote analysis information including the list of active commentators that are issuing quotations on the particular topic of interest.