28. 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; establish a top concepts threshold value; determine that one or more of the rankings of the plurality of words exceeds the top concepts threshold; and associate information about the one or more of the plurality of words with rankings that exceeds the top concepts with the video file to designate the top concepts of the video file, 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.
28. 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; establish a top concepts threshold value; determine that one or more of the rankings of the plurality of words exceeds the top concepts threshold; and associate information about the one or more of the plurality of words with rankings that exceeds the top concepts with the video file to designate the top concepts of the video file, 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. 29. The system of claim 28 , wherein the sets of instructions when further executed by the processor cause the processor to cross-reference words with the plurality of words to determine correlations between words or to construct phrases, wherein the cross-referencing of the word or words is configured to increase the ranking of the word or words.