System and method for electronic chat production

A computer program product comprising a non-transitory, computer-readable medium storing a set of computer executable instructions, the set of computer executable instructions including instructions for:

• receiving, by an electronic discovery system executing on a computer processor, an electronic chat comprising a set of electronic chat messages, each of the electronic chat messages in the set of electronic chat messages having a timestamp;
• determining a set of time gaps between the electronic chat messages from the set of electronic chat messages;
• determining a set of models that model the set of time gaps, wherein determining the set of models comprises:
• determining a single Gaussian distribution of the set of time gaps;
• and
• determining, using the set of time gaps, a Gaussian mixture model representing a mixture of Gaussian distributions;
• selecting an optimum model from the set of models;
• based on selecting the single Gaussian distribution as the optimum model, determining that the electronic chat comprises a single electronic chat message;
• and
• based on selecting the Gaussian mixture model as the optimum model, performing an adaptive splitting of the set of electronic chat messages into a set of conversations at least in part based on a Gaussian distribution represented by the Gaussian mixture model having the highest mean value.

An electronic discovery system comprising:

• a processor;
• a non-transitory, computer-readable medium storing a set of computer executable instructions that are executable by the processor, the set of computer executable instructions including instructions for:
• receiving an electronic chat comprising a set of electronic chat messages, each of the electronic chat messages in the set of electronic chat messages having a timestamp;
• determining a set of time gaps between the electronic chat messages from the set of electronic chat messages;
• determining a set of models that model the set of time gaps, wherein determining the set of models comprises:
• determining a single Gaussian distribution of the set of time gaps;
• and
• determining, using the set of time gaps, a Gaussian mixture model representing a mixture of Gaussian distributions;
• selecting an optimum model from the set of models;
• based on selecting the single Gaussian distribution as the optimum model, determining that the electronic chat comprises a single electronic chat message;
• and
• based on selecting the Gaussian mixture model as the optimum model, performing an adaptive splitting of the set of electronic chat messages into a set of conversations at least in part based on a Gaussian distribution represented by the Gaussian mixture model having the highest mean value.