Methods and systems for performing top concepts extraction

1. A method of providing top concepts for a video file, the method comprising:

receiving a list of candidate tags for a video file;

receiving a transcript of audio associated with the video file;

ranking the list of candidate tags for the video file based on a plurality of ranking factors;

filtering candidate tags from the list of candidate tags which rank below a threshold value;

presenting the filtered list of candidate tags in a user interface;

receiving a selection of one or more of the filtered list of candidate tags;

based on the selected one or more of the filtered list of candidate tags, evaluating the transcript and producing an updated list of candidate tags for the video file;

establishing a top concepts threshold value;

determining that one or more of the rankings of the plurality of words exceeds the top concepts threshold; and

associating 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.

2. The method of providing top concepts for a video file, as in claim 1 , further comprising based on the updated list of candidate tags, providing suggested video files associated with the video file.

3. The method of providing top concepts for a video file, as in claim 1 , further comprising based on the top concepts, determining hot spots in the video file where the top concepts are predominant.

4. The method of providing top concepts for a video file, as in claim 1 , the method further comprising:

receiving one or more manually generated tags associated with the video file;

based at least in part on the one or more manually entered tags, determining a preliminary category for the video file;

based on the preliminary category, generating a targeted transcript of the video file, wherein the targeted transcript includes a plurality of words;

generating an ontology of the plurality of words based on the targeted transcript;

ranking the plurality of words in the ontology based on a plurality of scoring factors; and

based on the ranking of the plurality of words, generating one or more automated tags associated with the video file.

5. The method of providing top concepts for a video file, as in claim 4 , wherein the plurality of scoring factors includes one or more of: frequency of words, proximity of words relative to other 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.

6. The method of providing top concepts for a video file, as in claim 4 , further comprising:

determining if the rankings for each of the plurality of words exceed a threshold ranking value; and

excluding any of the plurality of words that have a ranking value lower than the threshold value.

7. The method of providing top concepts for a video file, as in claim 4 , further comprising determining a score for each of the plurality of words, wherein the score includes word frequency, word distribution, and word variety.

8. A system for providing top concepts 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 a list of candidate tags for a video file;

receive a transcript of audio associated with the video file;

rank the list of candidate tags for the video file based on a plurality of ranking factors;

filter candidate tags from the list of candidate tags which rank below a threshold value;

present the filtered list of candidate tags in a user interface;

receive a selection of one or more of the filtered list of candidate tags;

based on the selected one or more of the filtered list of candidate tags, evaluating the transcript and producing an updated list of candidate tags for 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.

9. The system for providing top concepts for a video file as in claim 8 , wherein the sets of instructions when further executed by the processor cause the processor to based on the updated list of candidate tags, provide suggested video files associated with the video file.

10. The system for providing top concepts for a video file as in claim 8 , wherein the sets of instructions when further executed by the processor cause the processor to based on the top concepts, determine hot spots in the video file where the top concepts are predominant.

11. The system for providing top concepts for a video file as in claim 8 , wherein the sets of instructions when further executed by the processor cause the processor to:

receive one or more manually generated tags associated with the 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; and

based on the ranking of the plurality of words, generate one or more automated tags associated with the video file.

12. The system for providing top concepts for a video file as in claim 11 , wherein the plurality of scoring factors includes one or more of: frequency of words, proximity of words relative to other 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 for providing top concepts for a video file as in claim 11 , wherein the sets of instructions when further executed by the processor cause the processor to:

determine if the rankings for each of the plurality of words exceed a threshold ranking value; and

exclude any of the plurality of words that have a ranking value lower than the threshold value.

14. The system for providing top concepts for a video file as in claim 11 , wherein the sets of instructions when further executed by the processor cause the processor to determine a score for each of the plurality of words, wherein the score includes word frequency, word distribution, and word variety.

15. A non-transitory computer-readable medium having sets of instructions stored thereon which, when executed by a computer, cause the computer to:

receive a list of candidate tags for a video file;

receive a transcript of audio associated with the video file;

rank the list of candidate tags for the video file based on a plurality of ranking factors;

filter candidate tags from the list of candidate tags which rank below a threshold value;

present the filtered list of candidate tags in a user interface;

receive a selection of one or more of the filtered list of candidate tags;

based on the selected one or more of the filtered list of candidate tags, evaluating the transcript and producing an updated list of candidate tags for 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.

16. The non-transitory computer-readable medium of claim 15 , wherein the sets of instructions when further executed by the computer cause the computer to based on the updated list of candidate tags, provide suggested video files associated with the video file.

17. The non-transitory computer-readable medium of claim 15 , wherein the sets of instructions when further executed by the computer cause the computer to based on the top concepts, determine hot spots in the video file where the top concepts are predominant.

18. The non-transitory computer-readable medium of claim 15 , wherein the sets of instructions when further executed by the computer cause the computer to:

receive one or more manually generated tags associated with the 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; and

based on the ranking of the plurality of words, generate one or more automated tags associated with the video file.

19. The non-transitory computer-readable medium of claim 18 , wherein the plurality of scoring factors includes one or more of: frequency of words, proximity of words relative to other 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.

20. The non-transitory computer-readable medium of claim 18 , wherein the sets of instructions when further executed by the computer cause the computer to:

determine if the rankings for each of the plurality of words exceed a threshold ranking value; and

exclude any of the plurality of words that have a ranking value lower than the threshold value.