Systems and methods for training document analysis system for automatically extracting data from documents

In a document analysis system that receives and processes jobs from a plurality of users, in which each job may contain multiple electronic documents, to classify each document into a corresponding document category and to extract data from the electronic documents, a method of training the document analysis system to automatically extract data from each document, the method comprising:

• automatically analyzing images and text features extracted from each received electronic document to associate the electronic document with a corresponding document category;
• comparing the extracted text features with a set of text features associated with corresponding category of each received document, in which the set of text features includes a set of characters, words, and phrases;
• if the extracted text features are found to consist of the characters, words, and phrases belonging to the set of text features associated with the corresponding electronic document category, storing the extracted text features as the data contained in the corresponding electronic document;
• and
• if the extracted text features are found to include at least one text feature that does not belong to the set of text features associated with the corresponding electronic document category, submitting the unrecognized text features to a training phase in which the text features are recognized as belonging to the set of text features associated with the corresponding electronic document category and then using the now-recognized text features to automatically modify the set of text features associated with the corresponding electronic document category so that the extracting data, regardless of which document category the corresponding document belongs to, improves as the training method is subjected to more and more unrecognized text features and the set of text features is modified accordingly.