  Financial institutions have to screen their transactions to ensure that they
are not affiliated with terrorism entities. Developing appropriate solutions to
detect such affiliations precisely while avoiding any kind of interruption to
large amount of legitimate transactions is essential. In this paper, we present
building blocks of a scalable solution that may help financial institutions to
build their own software to extract terrorism entities out of both structured
and unstructured financial messages in real time and with approximate
similarity matching approach.
