15. A non-transitory computer-readable medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to: identify a document that received a classification by a machine learning classifier for data loss prevention; identify at least one linguistic constituent within the document that contributed to the classification; identify a relevant passage of the document that contextualizes the linguistic constituent; 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.
15. A non-transitory computer-readable medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to: identify a document that received a classification by a machine learning classifier for data loss prevention; identify at least one linguistic constituent within the document that contributed to the classification; identify a relevant passage of the document that contextualizes the linguistic constituent; 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. 18. The non-transitory computer-readable medium of claim 15 , wherein the one or more computer-executable instructions further cause the computing device to modify the machine learning classifier in response to receiving the user input indicating the type of mistake.