10. A system for generating automated tags for a video file, the system comprising: a storage memory; and a processor in communication with the storage memory, wherein the storage memory includes sets of instructions which, when executed by the processor, cause the processor to: receive one or more manually generated tags associated with a video file; based at least in part on the one or more manually entered tags, determine a preliminary category for the video file; based on the preliminary category, generate a targeted transcript of the video file, wherein the targeted transcript includes a plurality of words; generate an ontology of the plurality of words based on the targeted transcript; rank the plurality of words in the ontology based on a plurality of scoring factors; based on the ranking of the plurality of words, generate one or more automated tags associated with the video file; and generate a heat map for the video file, wherein the heat map comprises a graphical display which indicates offset locations of words within the video file with the highest rankings, wherein the plurality of scoring factors consists of two or more of: frequency of words, distribution of words throughout the targeted transcript of the video file, words related to the plurality of words throughout the targeted transcript of the video file, occurrence age of the related words, information associated with the one or more manually entered tags, vernacular meaning of the plurality of words, or colloquial considerations of the meaning of the plurality of words.
10. A system for generating automated tags for a video file, the system comprising: a storage memory; and a processor in communication with the storage memory, wherein the storage memory includes sets of instructions which, when executed by the processor, cause the processor to: receive one or more manually generated tags associated with a video file; based at least in part on the one or more manually entered tags, determine a preliminary category for the video file; based on the preliminary category, generate a targeted transcript of the video file, wherein the targeted transcript includes a plurality of words; generate an ontology of the plurality of words based on the targeted transcript; rank the plurality of words in the ontology based on a plurality of scoring factors; based on the ranking of the plurality of words, generate one or more automated tags associated with the video file; and generate a heat map for the video file, wherein the heat map comprises a graphical display which indicates offset locations of words within the video file with the highest rankings, wherein the plurality of scoring factors consists of two or more of: frequency of words, distribution of words throughout the targeted transcript of the video file, words related to the plurality of words throughout the targeted transcript of the video file, occurrence age of the related words, information associated with the one or more manually entered tags, vernacular meaning of the plurality of words, or colloquial considerations of the meaning of the plurality of words. 13. The system of claim 10 , wherein the ontology is configured to provide categorical models of the plurality of words.