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tion retrieval point of view to provide searchable in-
formation acting as a query to retrieve spam accounts.
Our work uses the simple meta-data of a particular set
of users posted tweets associated with a topic (hash-
tag) to predict spammy naming patterns as a search-
able information. Our work can be leveraged by Twit-
ter community to search for spam accounts and also
for Twitter based applications that work on large col-
lection of tweets. As our work is the first in this direc-
tion, we intend to extend the method to predict search-
able information also from tweets as well, with work-
ing on improving the retrieval metrics of the current
method.
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