4. The method of claim 1 , wherein the received training data set is a single data set that does not distinguish between the plurality of sensitive documents or the plurality of non-sensitive documents, the method further comprising: using local weighted latent semantic indexing (LSI) to divide the training data set into a plurality of distinct sets of documents; identifying a first distinct set of documents as containing the plurality of sensitive documents and a second distinct set of documents as containing the plurality of non-sensitive documents; and using machine learning with the first distinct set of documents and the second distinct set of documents to generate the machine learning-based detection (MLD) profile.
5. The method of claim 4 , wherein the first distinct set of documents is identified as containing the plurality of sensitive documents and the second distinct set of documents is identified as containing the plurality of non-sensitive documents based on user input.