14. A computer system for watermarking content stored in a plurality of corpora each having a plurality of corpuses, the computer system comprising: at least one processing unit; memory operably associated with the at least one processing unit; and a feature watermark tool storable in memory and executable by the at least one processing unit, the tool comprising: an input component configured to receive a data set of content from a corpus within one of the plurality of corpora; a natural language processing (NLP) stack including a plurality of NLP analytics each configured to extract features from the data set; and a feature watermark generator configured to generate a feature watermark for each of the plurality of NLP analytics for features extracted therefrom, the feature watermark generator further configured to form a watermark tree from each of the feature watermarks, the watermark tree representing a hierarchical relationship between each of the feature watermarks generated from each of the plurality of NLP analytics, the watermark tree defining hierarchical pointers that point out inherited watermarks that exist between the feature watermarks according to the hierarchical relationship, the watermark tree including a time stamp specifying a time that the data set was accessed from the corpus.
14. A computer system for watermarking content stored in a plurality of corpora each having a plurality of corpuses, the computer system comprising: at least one processing unit; memory operably associated with the at least one processing unit; and a feature watermark tool storable in memory and executable by the at least one processing unit, the tool comprising: an input component configured to receive a data set of content from a corpus within one of the plurality of corpora; a natural language processing (NLP) stack including a plurality of NLP analytics each configured to extract features from the data set; and a feature watermark generator configured to generate a feature watermark for each of the plurality of NLP analytics for features extracted therefrom, the feature watermark generator further configured to form a watermark tree from each of the feature watermarks, the watermark tree representing a hierarchical relationship between each of the feature watermarks generated from each of the plurality of NLP analytics, the watermark tree defining hierarchical pointers that point out inherited watermarks that exist between the feature watermarks according to the hierarchical relationship, the watermark tree including a time stamp specifying a time that the data set was accessed from the corpus. 15. The computer system according to claim 14 , wherein the feature watermark generator is further configured to store the watermark tree in the corpus with a corpus time stamp and apply a corpora time stamp to the corpora associated with the corpus in response to storing the watermark in the corpus, the corpus including a plurality of watermark trees each formed at a different time stamp, and the corpora including a plurality of corpora time stamps each associated with storing one of the plurality of watermark trees in the corpus.