Abstract: Systems and methods for extracting data from electronic documents based on data patterns. The method includes receiving electronic template documents. Each template document corresponds to a type of electronic document. The method further includes, for each template document, processing the template document using a text extraction and data processing application. The method also includes, for each template document, determining a data extraction formula corresponding to the type of electronic document. The method further includes, storing the data extraction formula in a first database. The method also includes, receiving an electronic document including user data and a Unicode corresponding to the type of document. The method also includes, processing and classifying the electronic document into the type of document corresponding to the Unicode.

Abstract: Systems and methods for extracting data from electronic documents based on data patterns. The method includes receiving electronic template documents. Each template document corresponds to a type of electronic document. The method further includes, for each template document, processing the template document using a text extraction and data processing application. The method also includes, for each template document, determining a data extraction formula corresponding to the type of electronic document. The method further includes, storing the data extraction formula in a first database. The method also includes, receiving an electronic document including user data and a Unicode corresponding to the type of document. The method also includes, processing and classifying the electronic document into the type of document corresponding to the Unicode.

Abstract: Systems and methods for deriving classification rules from documents and a database using rule-based machine learning. The method includes extracting first variables from documents corresponding to an organization. The method further includes extracting second variables from a database corresponding to the organization. The method also includes filtering the extracted second variables based on at least one of null values, repeat variables, location variables, ID variables, or data variables. The method further includes deriving first classification rules based on the first variables using a rule-based machine learning algorithm. The method also includes calculating an accuracy of the derived first classification rules. The method also includes deriving second classification rules based on the first variables and the filtered second variables. The method further includes determining a suggested additional variable based on the derived second classification rules and the calculated accuracy.