3. The method of claim 2 , further comprising: inputting an output of said relevant line extractor and said scoring model to an information retrieval (IR) engine; and responsive thereto, said IR engine outputting data matrices.
3. The method of claim 2 , further comprising: inputting an output of said relevant line extractor and said scoring model to an information retrieval (IR) engine; and responsive thereto, said IR engine outputting data matrices. 4. The method of claim 3 , further comprising: preprocessing the lines of text from said relevant line extractor by any of reshaping data; masking text patterns which comprise any of different date patterns, digit patterns, phone numbers, credit card numbers, company names, and URLs; converting to lower case; removing numbers; removing punctuation; tokenization; stemming; part-of-speech tagging; and lemmatization.