  Microblogging websites, especially Twitter have become an important means of
communication, in today's time. Often these services have been found to be
faster than conventional news services. With millions of users, a need was felt
to classify users based on ambient metadata associated with their user
accounts. We particularly look at the effectiveness of the profile description
field in order to carry out the task of user classification. Our results show
that such metadata can be an effective feature for any classification task.
