1. A method of identifying a list of terms relevant to a web page, comprising: generating a word list from at least a portion of the content of a web page using a web and message server system; generating an initial list of relevant terms based upon the word list using the web and message server system; selecting at least one category from a predetermined plurality of categories to which the web page is relevant based on the initial list of relevant terms using the web and message server system by: calculating a plurality of relevancy scores for the web page with respect to the predetermined plurality of categories using the web and message server system, where: each of the plurality of relevancy scores is a score determined with respect to one of the plurality of categories, and a given relevancy score is determined using a predetermined plurality of keywords related to one of the plurality of predetermined categories; a predetermined plurality of keywords is related to each of the plurality of predetermined categories; a normalized keyword frequency is assigned to each of the predetermined plurality of keywords related to each of the plurality of predetermined categories, where the normalized keyword frequency is determined for a given predetermined keyword from the predetermined plurality of keywords based upon the frequency with which the given predetermined keyword appears within a predetermined training data set comprising a plurality of messages that are relevant to the category from the plurality of predetermined categories to which the given predetermined keyword is related; and calculating a given relevancy score for the web page with respect to a given category from the plurality of predetermined categories comprises using the normalized frequencies of the predetermined plurality of keywords related to the given category to determine a likelihood that each term in the initial list of relevant terms is present in a message relevant to the given category; storing the plurality of relevancy scores for the web page with respect to the predetermined plurality of categories using the web and message server system; and identifying at least one category relevant to the web page based on the plurality of stored relevancy scores using the web and message server system; identifying additional relevant terms based on the predetermined plurality of keywords related to the at least one category selected as relevant to the web page using the web and message server system; and creating an updated list of relevant terms by combining terms in the initial list of relevant terms with additional relevant terms identified based on the predetermined plurality of keywords related to the at least one category selected as relevant to the web page using the web and message server system.
1. A method of identifying a list of terms relevant to a web page, comprising: generating a word list from at least a portion of the content of a web page using a web and message server system; generating an initial list of relevant terms based upon the word list using the web and message server system; selecting at least one category from a predetermined plurality of categories to which the web page is relevant based on the initial list of relevant terms using the web and message server system by: calculating a plurality of relevancy scores for the web page with respect to the predetermined plurality of categories using the web and message server system, where: each of the plurality of relevancy scores is a score determined with respect to one of the plurality of categories, and a given relevancy score is determined using a predetermined plurality of keywords related to one of the plurality of predetermined categories; a predetermined plurality of keywords is related to each of the plurality of predetermined categories; a normalized keyword frequency is assigned to each of the predetermined plurality of keywords related to each of the plurality of predetermined categories, where the normalized keyword frequency is determined for a given predetermined keyword from the predetermined plurality of keywords based upon the frequency with which the given predetermined keyword appears within a predetermined training data set comprising a plurality of messages that are relevant to the category from the plurality of predetermined categories to which the given predetermined keyword is related; and calculating a given relevancy score for the web page with respect to a given category from the plurality of predetermined categories comprises using the normalized frequencies of the predetermined plurality of keywords related to the given category to determine a likelihood that each term in the initial list of relevant terms is present in a message relevant to the given category; storing the plurality of relevancy scores for the web page with respect to the predetermined plurality of categories using the web and message server system; and identifying at least one category relevant to the web page based on the plurality of stored relevancy scores using the web and message server system; identifying additional relevant terms based on the predetermined plurality of keywords related to the at least one category selected as relevant to the web page using the web and message server system; and creating an updated list of relevant terms by combining terms in the initial list of relevant terms with additional relevant terms identified based on the predetermined plurality of keywords related to the at least one category selected as relevant to the web page using the web and message server system. 12. The method of claim 1 , wherein identifying additional relevant terms using messages posted to at least one social network based upon the initial list of relevant terms comprises: determining the uniqueness of all combinations of a predetermined selection of the highest scoring terms from the initial list of relevant terms; and selecting combinations of the terms based upon the uniqueness of the combination.