1. A system for enhanced machine learning using coder rankings, the system comprising: a first physical memory device configured to store a plurality of data sets including a first data set corresponding to a first subject area category, each of the plurality of data sets including at least one training data set; a second physical memory device configured to store coder data related to users who perform data coding; a classification computer processor module in electronic communication with the first and second physical memory device, the classification computer processor module configured to: store a first set of selected codes corresponding to a set of data items in a training data set of the first data set, the first set of selected codes provided by a first user via a first classifier system; store a second set of selected codes corresponding to the set of data items, the second set of selected codes provided by a second user via a second classifier system, wherein the first set of selected codes is different from the second set of selected codes; and electronically access an adjudicated set of selected codes adjudicated by a third user via an adjudication system; and a coder ranking processor module in electronic communication with the first and second physical memory device, the coder ranking processor module configured to: generate a first trust score corresponding to the first user as to the first subject area category, the first trust score based at least in part on: an accuracy determination of the first set of selected codes as compared to the adjudicated set of selected codes; and at least two or more of the following: an accuracy determination of previous coding performance by the first user from a prior time period; third party accreditation for the first user related to the first subject area category, or third party credentials for the first user related to the first subject area category; generate a second trust score corresponding to the second user as to the first subject area category, the second trust score based at least in part on: an accuracy determination of the second set of selected codes as compared to the adjudicated set of selected codes; and at least two or more of the following: an accuracy determination of previous coding performance by the second user from a prior time period; third party accreditation for the second user related to the first subject area category, or third party credentials for the second user related to the first subject area category; wherein the accuracy determination of the first set of selected codes indicates a level of accuracy higher than the accuracy determination of the second set of selected codes and the first trust score corresponding to the first user is higher than the second trust score corresponding to the second user; and store the first trust score and the second trust score in the second physical memory device.
1. A system for enhanced machine learning using coder rankings, the system comprising: a first physical memory device configured to store a plurality of data sets including a first data set corresponding to a first subject area category, each of the plurality of data sets including at least one training data set; a second physical memory device configured to store coder data related to users who perform data coding; a classification computer processor module in electronic communication with the first and second physical memory device, the classification computer processor module configured to: store a first set of selected codes corresponding to a set of data items in a training data set of the first data set, the first set of selected codes provided by a first user via a first classifier system; store a second set of selected codes corresponding to the set of data items, the second set of selected codes provided by a second user via a second classifier system, wherein the first set of selected codes is different from the second set of selected codes; and electronically access an adjudicated set of selected codes adjudicated by a third user via an adjudication system; and a coder ranking processor module in electronic communication with the first and second physical memory device, the coder ranking processor module configured to: generate a first trust score corresponding to the first user as to the first subject area category, the first trust score based at least in part on: an accuracy determination of the first set of selected codes as compared to the adjudicated set of selected codes; and at least two or more of the following: an accuracy determination of previous coding performance by the first user from a prior time period; third party accreditation for the first user related to the first subject area category, or third party credentials for the first user related to the first subject area category; generate a second trust score corresponding to the second user as to the first subject area category, the second trust score based at least in part on: an accuracy determination of the second set of selected codes as compared to the adjudicated set of selected codes; and at least two or more of the following: an accuracy determination of previous coding performance by the second user from a prior time period; third party accreditation for the second user related to the first subject area category, or third party credentials for the second user related to the first subject area category; wherein the accuracy determination of the first set of selected codes indicates a level of accuracy higher than the accuracy determination of the second set of selected codes and the first trust score corresponding to the first user is higher than the second trust score corresponding to the second user; and store the first trust score and the second trust score in the second physical memory device. 6. The system of claim 1 , wherein the first data set includes compilations of data from an entity requesting one or more of: text analytics or data mining.