1. A method for identifying generic terms, the method comprising: evaluating, by a computer system, word usage in an article for a string in reference corpus articles of a reference corpus by generating for the string a corpus vector having a list of co-occurring corpus words that occur in the reference corpus articles that also include the string and calculating a corpus ratio for each co-occurring corpus word as a number of times the each co-occurring corpus word occurs in the reference corpus articles containing the string divided by a number of times the co-occurring corpus word occurs in the reference corpus articles, the corpus vector including the list of co-occurring corpus words and the corpus ratio for the each co-occurring corpus words; evaluating, by the computer system, word usage in current social media documents containing the string by generating for the string a social media vector having a list of co-occurring social media words that occur in social media documents that also include the string and calculating a social media ratio for each co-occurring social media word as a number of times the each co-occurring social media word occurs in the current social media documents containing the string divided by a number of times the co-occurring social media word occurs in the current social media documents, the social media vector including the list of co-occurring social media words and the social media ratio for the each co-occurring social media words; causing, by the computer system, a generic score for the string to indicate greater generic-ness for a greater difference between the corpus vector and the social media vector; and storing, by the computer system, the generic score for the string.