System and method for management of call data using a vector based model and relational data structure

A method for representing call content in a searchable database, comprising the steps of:

• collecting incoming calls from source channels;
• transcribing content of the incoming calls;
• classifying the call content using a vector space model which represents the call content in vector space;
• and
• storing the call content represented by a vector in a relational data set structure to a target database,
• wherein classifying the call content comprises:
• projecting the call content to vector space, wherein projecting comprises creating a call vector representative of the call content for each call by indexing associated call content using a content index dictionary;
• and
• determining a similarity measure for each call vector in relation to classes of an atomic-class dictionary, which provides classification hierarchy descriptions of call data stored in a relational database.

A system for representing call content in a searchable database, comprising:

• a management module, which receives, call content from a source, the management module farther comprising:
• a relational data structure employed for indexing call content and classifying call content for converting the call content into a vector;
• a content index dictionary which provides information for creating the call content indexing;
• and
• an atomic-class dictionary which is employed to classify the call content;
• and
• a database which stores the converted vectors to provide searchable call content.