Natural language management of online social network connections may comprise receiving natural language data associated with a user's social network interactions. The natural language data associated with a user's social network interactions is analyzed and features used in the user's social network interactions are determined based on the analysis. The contexts in which the features are used in the user's social network interactions may be also determined. Point values to the features used in the user's social network interactions are assigned. A fingerprint of the user is created at least based on the features and the point values. The created fingerprint may be compared with information associated with online communities, and based on the comparison, one or more of the online communities may be recommended as user's potential social network connections.
Please help me write a proper abstract based on the patent claims. CLAIM: 1.-11. (canceled) 12. A system for natural language management of online social network connections, comprising: hardware processor operable to receive natural language data associated with a user's social network interactions, the hardware processor further operable to analyze the natural language data associated with a user's social network interactions, the hardware processor further operable to determine features used in the user's social network interactions based on the analysis, the hardware processor further operable to assign point values to the features used in the user's social network interactions, the hardware processor further operable to create a fingerprint of the user based on the features and the point values, the hardware processor further operable to compare the fingerprint with information associated with online communities, based on the comparing, the hardware processor further operable to recommend one or more of the online communities as user's potential social network connections; and a storage device operable to store the fingerprint. 13. The system of claim 12, wherein the determined context comprises a number of times the features are used in the user's social network interactions, with whom the user's social network interactions are conducted, definition and contextual use of the features, and how long ago the features were used. 14. The system of claim 12, wherein the created fingerprint is augmented with superimposed features. 15. The system of claim 12, wherein the online communities comprise one or more of the user's previously visited online communities and predefined list of online communities. 16. A computer readable storage medium storing a program of instructions executable by a machine to perform a method of natural language management of online social network connections, the method comprising: receiving natural language data associated with a user's social network interactions; analyzing the natural language data associated with a user's social network interactions; determining features used in the user's social network interactions based on the analysis; assigning point values to the features used in the user's social network interactions; creating a fingerprint of the user based on the features and the point values; comparing the fingerprint with information associated with online communities; and based on the comparing, recommending one or more of the online communities as user's potential social network connections. 17. The computer readable storage medium of claim 16, wherein the fingerprint is created based on monitoring the user's social network interactions over a specified period of time. 18. The computer readable storage medium of claim 16, wherein the fingerprint is created based on monitoring the user's social network interactions until a defined number of occurrences of one or more of the features have been detected. 19. The computer readable storage medium of claim 16, wherein the fingerprint is created further based on location information associated with the user received as input. 20. The computer readable storage medium of claim 16, wherein said one or more of the online communities recommended as user's potential social network connections changes as a natural language used in the user's social network interactions changes.