8. A system for transparent data loss prevention classifications, the system comprising: an identification module programmed to identify a document that received a classification by a machine learning classifier for data loss prevention; a constituent module programmed to identify at least one linguistic constituent within the document that contributed to the classification; a contextualization module programmed to identify a relevant passage of the document that contextualizes the linguistic constituent; a interface module programmed to: display a user interface comprising the linguistic constituent in context of the relevant passage; receive user input via the user interface indicating a type of mistake, selected via the user interface from a plurality of types of mistakes, that potentially caused the machine learning classifier to misclassify the document, wherein indicating the type of mistake that potentially caused the machine learning classifier to misclassify the document comprises indicating a basis of classification relied upon by the machine learning classifier that resulted in the machine learning classifier misclassifying the document; at least one processor configured to execute the identification module, the constituent module, the contextualization module, and the interface module.
8. A system for transparent data loss prevention classifications, the system comprising: an identification module programmed to identify a document that received a classification by a machine learning classifier for data loss prevention; a constituent module programmed to identify at least one linguistic constituent within the document that contributed to the classification; a contextualization module programmed to identify a relevant passage of the document that contextualizes the linguistic constituent; a interface module programmed to: display a user interface comprising the linguistic constituent in context of the relevant passage; receive user input via the user interface indicating a type of mistake, selected via the user interface from a plurality of types of mistakes, that potentially caused the machine learning classifier to misclassify the document, wherein indicating the type of mistake that potentially caused the machine learning classifier to misclassify the document comprises indicating a basis of classification relied upon by the machine learning classifier that resulted in the machine learning classifier misclassifying the document; at least one processor configured to execute the identification module, the constituent module, the contextualization module, and the interface module. 13. The system of claim 8 , wherein the constituent module is programmed to identify the linguistic constituent within the document that contributed to the classification by: identifying a plurality of linguistic constituents within the document that contributed to the classification; selecting the linguistic constituent based at least in part on a degree to which the linguistic constituent contributed to the classification.