10. The method of claim 1 , further comprising: while executing said scoring model, said processor receiving said model and the raw data; and said processor classifying said raw data into predefined hierarchical categories.
10. The method of claim 1 , further comprising: while executing said scoring model, said processor receiving said model and the raw data; and said processor classifying said raw data into predefined hierarchical categories. 11. The method of claim 10 , further comprising: a relevant line extractor receiving raw data; and said relevant line extractor outputting data to a model execution module, said model extraction module using said model and a rule extraction system to parse user interaction sessions and extract relevant or important features therefrom to build machine learning models based on tagged data; wherein said features comprise any of most frequent n-grams; most discriminatory n-grams; rules comprising any of AND, OR, or proximity rules; any structured data comprising any of handle times and delays in response.