14. A system for processing communications in a call center, comprising: a database storing records of calls to said call center, said records comprising call information comprising a call summary field that includes an assigned call class; a special-purpose telecommunications processor connected to said database, said special-purpose telecommunications processor comprising a tokenizer; and a graphical user interface connected to said special-purpose telecommunications processor, said special-purpose telecommunications processor analyzing said call summary field in said records of calls using said tokenizer, said tokenizer transforming a sequence of characters in said call summary field into a sequence of tokens, producing tokenized call data, said special-purpose telecommunications processor creating a maximum entropy (MaxEnt) model based on said tokenized call data, said MaxEnt model producing a probability distribution of all classes for a next call to said call center, said special-purpose telecommunications processor training a conditional random field (CRF) classifier with said MaxEnt model and said call information from said records of calls, said CRF classifier using chronologically ordered sequences of prior calls to said call center and predicting a class for a new call to said call center based on said records of calls to said call center stored in said database, said special-purpose telecommunications processor producing a call class prediction for a received call based on said CRF classifier and said MaxEnt model, and said special-purpose telecommunications processor displaying said call class prediction for said received call on said graphical user interface.
14. A system for processing communications in a call center, comprising: a database storing records of calls to said call center, said records comprising call information comprising a call summary field that includes an assigned call class; a special-purpose telecommunications processor connected to said database, said special-purpose telecommunications processor comprising a tokenizer; and a graphical user interface connected to said special-purpose telecommunications processor, said special-purpose telecommunications processor analyzing said call summary field in said records of calls using said tokenizer, said tokenizer transforming a sequence of characters in said call summary field into a sequence of tokens, producing tokenized call data, said special-purpose telecommunications processor creating a maximum entropy (MaxEnt) model based on said tokenized call data, said MaxEnt model producing a probability distribution of all classes for a next call to said call center, said special-purpose telecommunications processor training a conditional random field (CRF) classifier with said MaxEnt model and said call information from said records of calls, said CRF classifier using chronologically ordered sequences of prior calls to said call center and predicting a class for a new call to said call center based on said records of calls to said call center stored in said database, said special-purpose telecommunications processor producing a call class prediction for a received call based on said CRF classifier and said MaxEnt model, and said special-purpose telecommunications processor displaying said call class prediction for said received call on said graphical user interface. 18. The system according to claim 14 , further comprising: after handling said received call, said special-purpose telecommunications processor obtaining a call class assignment for said received call; and storing the assigned class for said received call in said database.