11. The method according to claim 7 , including processing queries that remain unmatched after using the linguistic matching language, said processing including: identifying relationships between the unmatched queries using the clustering engine; grouping the unmatched queries according to an output of the clustering engine; and filtering or ranking the query groupings according to the amount of queries contained therein on a per-group basis, wherein said filtering or ranking identifies a first one of the query groupings having more queries contained therein than a second different one of the filtered query groupings.
11. The method according to claim 7 , including processing queries that remain unmatched after using the linguistic matching language, said processing including: identifying relationships between the unmatched queries using the clustering engine; grouping the unmatched queries according to an output of the clustering engine; and filtering or ranking the query groupings according to the amount of queries contained therein on a per-group basis, wherein said filtering or ranking identifies a first one of the query groupings having more queries contained therein than a second different one of the filtered query groupings. 13. The method according to claim 11 , wherein said processing of the queries that remain unmatched after using the linguistic matching language further includes: generating a new intent category for the first query grouping and correlating the newly generated intent category with the queries of the first query grouping; wherein the queries of the second query grouping remain uncorrelated with the intent categories including the new intent category for a duration of time after said correlation, wherein said duration of time is greater than zero.