9. A computer system for processing documents, said computer system comprising: a memory device; a processor in communication with the memory device; a classifier configured to: receive a plurality of documents, each document includes unplanned information relating to a customer support issue or sentiment; determine if a document of the plurality of documents refers to a customer support issue or sentiment by parsing the plurality of documents; and if a confidence level of the determination meets a confidence level threshold of the customer support issue or sentiment, associate a probability to the document that the document refers to the customer support issue or sentiment; and a clustering module configured to receive a remainder of the plurality of documents that do not meet the confidence level threshold of the customer support issue or sentiment; and cluster the remainder of the plurality of documents that do not satisfy the confidence threshold for the customer support issue or sentiment into a plurality of clustered groups containing similar terms relating to the customer support issue or sentiment; and an output module configured to generate a report of a frequency of occurrence of documents associated with the customer support issue or sentiment.
9. A computer system for processing documents, said computer system comprising: a memory device; a processor in communication with the memory device; a classifier configured to: receive a plurality of documents, each document includes unplanned information relating to a customer support issue or sentiment; determine if a document of the plurality of documents refers to a customer support issue or sentiment by parsing the plurality of documents; and if a confidence level of the determination meets a confidence level threshold of the customer support issue or sentiment, associate a probability to the document that the document refers to the customer support issue or sentiment; and a clustering module configured to receive a remainder of the plurality of documents that do not meet the confidence level threshold of the customer support issue or sentiment; and cluster the remainder of the plurality of documents that do not satisfy the confidence threshold for the customer support issue or sentiment into a plurality of clustered groups containing similar terms relating to the customer support issue or sentiment; and an output module configured to generate a report of a frequency of occurrence of documents associated with the customer support issue or sentiment. 11. A system in accordance with claim 9 , wherein said classifier is configured to receive the confidence level threshold determined from a set of classification training documents, said classification training documents comprising documents having a predetermined confidence level.