1. A method for natural language management of online social network connections, comprising: receiving natural language data associated with a user's social network interactions; analyzing, by a processor, the natural language data associated with the user's social network interactions; determining, by the processor, features used in the user's social network interactions based on the analysis; assigning, by the processor, point values to the features used in the user's social network interactions; creating, by the processor, a fingerprint of the user based on the features and the point values; comparing, by the processor, the fingerprint with information associated with online communities; and based on the comparing, recommending, by the processor, one or more of the online communities as the user's potential social network connections, wherein the features comprise a sequence of a number of items from the natural language data associated with the user's social network interactions, wherein the fingerprint represents one or more of words the user uses and a context in which the user uses the one or more of words, wherein the fingerprint is used to connect to an online community or a web site, or a combination thereof, the method further comprising augmenting the fingerprint with superimposed features, wherein fingerprints are compared to look for common features that overlap and can be linked together, the fingerprint that is superimposed used in the recommending of the one or more of the online communities as the user's potential social network connections.
4. The method of claim 1 , wherein the online communities comprise a predefined list of online communities.