1. A method for classifying messages using a classifier, comprising: determining keyword feature information for a message using the classifier; classifying the determined feature information using the classifier, wherein the classifier retrieves a set of verified user data utilized to classify the feature information from a classifier memory and the verified user data is generated by: obtaining a set of training data comprising aggregated short message data; obtaining determined feature data for the set of training data, wherein the determined feature data comprises identified features of the set of training data describing the age of the users providing the aggregated short message data in the set of training data; determining training age data using the classifier by comparing the determined feature data to a set of pre-classified example data, wherein the pre-classified example data comprises a set of example short message data and a corresponding set of known age classification data, wherein each piece of example short message data has a known age described in the set of known age classification data; and verifying the training age data based on the pre-classified example data: and determining statistically relevant features in the verified training age data; wherein the statistically relevant features comprises features of interests within a piece of feature information being classified using the classifier; estimating user age data for the message based on the classified feature information using the classifier; and providing the estimated user age data in response to a request for user age data.