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Gang affiliates have joined the masses who use social media to share thoughts and actions. Perhaps paradoxically, they use this public medium to express recent illegal actions, to intimidate others, and to share outrageous images and statements. Agencies able to unearth these profiles may thus be able to anticipate, stop, or hasten the investigation gang related crimes and activities. This talk discusses our efforts in analyzing street gangs on twitter, with an emphasis on discovering their profiles. Our approach, which uses deep learning to embed signals in tweet language, images, shared YouTube links, and emoji use into a vector space for machine learning classifiers, recovers gang member profiles with promising accuracy and a low false positive rate.