12. The system of claim 11 , wherein the n-gram extractor is further configured to generate frequency data corresponding to the extracted plurality of n-grams, the frequency data comprising a frequency count.
11. A system for analyzing digital content, the system comprising: an n-gram extractor configured to extract a plurality of n-grams from an unstructured corpus of text; a topic model generator configured to construct a multi-dimensional document feature vector that includes at least a portion of the n-grams extracted from the unstructured corpus of text and a relevance factor corresponding to each of the n-grams included in the multi-dimensional document feature vector; a topic categorizer configured to extract a portion of topics included in a topic ontology, wherein each of the extracted topics is related to one of the n-grams included in the multi-dimensional document feature vector; and a text analytics module configured to generate a hierarchical listing that includes the extracted topics, wherein the hierarchical listing comprises a first plurality of nodes in a first branch of the hierarchical listing, and a second plurality of nodes in a second branch of the hierarchical listing, and wherein a particular node in a particular branch of the hierarchical listing includes a particular extracted topic, and assign a relevancy score to the particular extracted topic, wherein the assigned relevancy score is based on (a) the relevance factor corresponding to an n-gram that is related to the particular extracted topic, and (b) relevancy scores assigned to other extracted topics included in the particular branch of the hierarchical listing; wherein at least one of the extracted topics is not included within the plurality of n-grams extracted from the unstructured corpus of text; wherein the hierarchical listing has a hierarchical structure corresponding to a hierarchical structure of the topic ontology, such that topics extracted from a relatively higher ontology level are in a corresponding higher hierarchical level of the listing, and topics extracted from a relatively lower ontology level are in a corresponding lower hierarchical level of the hierarchical listing; and wherein the hierarchical listing includes an extracted topic that is not included in the plurality of n-grams extracted from the corpus of text.