4. The method of claim 3 further comprising a training step for generating the interaction sentiment model.
5. The method of claim 4 wherein the training step comprises: receiving a training interaction; performing audio analysis on the training interaction for obtaining; segmenting the text into context units; determining sentiment context units from the context units; extracting features related to the interaction; receiving tagging data related to the interaction; and generating the interaction sentiment model using the features and the tagging data.