Media event structure and context identification using short messages

1. A method comprising:

obtaining, using at least one computing device, a sampling of short messages of a plurality of users, the sampling of short messages corresponding to a media event;

identifying, using the at least one computing device and the sampling of short messages, a segment in the media event, comprising identifying an onset and an end of the identified segment using levels of short messaging activity detected using the sampling of short messages, the levels comprising a level used in identifying the onset and a different level used in identifying the end; and

identifying, using the at least one computing device, a context for the identified segment using at least one term taken from the sampling of short messages.

2. The method of claim 1 , further comprising:

selecting, using the at least one computing device, the sampling of short messages from a collection of short messages, the selecting comprising selecting short messages from at least one user of the plurality of users, the at least one user being a followcaster having at least a threshold number of subscribers.

3. The method of claim 2 , the identifying a segment in the media event further comprising:

identifying, using the at least one computing device, the segment in the media event using the level of short message activity in connection with at least one user identified as a followcaster having at least a threshold number of subscribers.

4. The method of claim 1 , further comprising:

selecting, using the at least one computing device, the sampling of short messages from a collection of short messages, the selecting comprising selecting short messages of a conversational-type.

5. The method of claim 4 , wherein the conversational-type message contains an indication that the message is directed to one or more users.

6. The method of claim 5 , wherein the indication comprises an indicator linking the message sender and the one or more users.

7. The method of claim 1 , the identifying a segment in the media event further comprising:

identifying, using the at least one computing device, the segment in the media event using short messages identified as a conversational-type message.

8. The method of claim 1 , the identifying a segment in the media event further comprising:

determining, using the at least one computing device and the sampling of short messages, a plurality of term frequency scores for a term used in the sampling of short messages, each of the plurality of term frequency scores corresponding to a window of time of the media event and being indicative of a number of short messages containing the term in the corresponding window of time;

determining, using the at least one computing device and the sampling of short messages, a plurality of normalized frequency scores corresponding to the plurality of term frequency scores, for each term frequency score, the corresponding normalized frequency score comprising a ratio of the term frequency score and a corpus term frequency, the corpus term frequency indicative of a number of short messages in the sampling containing the term;

determining, using the at least one computing device and the plurality of normalized term frequency scores identified for the term, a maximum normalized term frequency score; and

identifying, using the at least one computing device, the segment from the window of time corresponding to the determined maximum normalized frequency score for the term.

9. The method of claim 1 , identifying at least one term taken from the sampling of short messages further comprising:

determining, using the at least one computing device and the sampling of short messages, a plurality of term frequency scores for a term used in the sampling of short messages, each of the plurality of term frequency scores corresponding to a window of time of the media event and being indicative of a number of short messages containing the term in the corresponding window of time;

determining, using the at least one computing device and the plurality of term frequency scores identified for the term, whether the term's frequency of use is higher relatively at a time corresponding to the identified segment; and

identifying, using the at least one computing device, the term as a term indicative of a context of the identified segment if the term's frequency of use is higher relatively at a time corresponding to the identified segment.

10. The method of claim 9 , wherein each of the term frequency scores comprises a normalized frequency score, the normalized frequency score comprising a ratio of a term frequency indicative of a number of short messages containing the term for the window of time and a corpus term frequency indicative of a number of short messages in the sampling containing the term.

11. A system comprising:

at least one computing device, each computing device comprising processor and a storage medium for tangibly storing thereon program logic for execution by the processor, the stored program logic comprising:

obtaining logic executed by the processor for obtaining a sampling of short messages of a plurality of users, the sampling of short messages corresponding to a media event;

identifying logic executed by the processor for identifying, using the sampling of short messages, a segment in the media event, comprising identifying an onset and an end of the identified segment using levels of short messaging activity detected using the sampling of short messages, the levels comprising a level used in identifying the onset and a different level used in identifying the end; and

identifying logic executed by the processor for identify a context for the identified segment using at least one term taken from the sampling of short messages.

12. The system of claim 11 , the stored program logic further comprising:

selecting logic executed by the processor for selecting the sampling of short messages from a collection of short messages, the selecting comprising selecting short messages from at least one user of the plurality of users, the at least one user being a followcaster having at least a threshold number of subscribers.

13. The system of claim 12 , the identifying logic executed by the processor for identifying a segment in the media event further comprising:

identifying logic executed by the processor for identifying the segment in the media event using the level of short message activity in connection with at least one user identified as a followcaster having at least a threshold number of subscribers.

14. The system of claim 11 , the stored program logic comprising:

selecting logic executed by the processor for selecting the sampling of short messages from a collection of short messages, the selecting comprising selecting short messages of a conversational-type.

15. The system of claim 14 , wherein the conversational-type message contains an indication that the message is directed to one or more users.

16. The system of claim 15 , wherein the indication comprises an indicator linking the message sender and the one or more users.

17. The system of claim 11 , the identifying logic executed by the processor for identifying a segment in the media event further comprising:

identifying logic executed by the processor for identifying the segment in the media event using short messages identified as a conversational-type message.

18. The system of claim 11 , the identifying logic executed by the processor for identifying a segment in the media event further comprising:

determining logic executed by the processor for determining, using the sampling of short messages, a plurality of term frequency scores for a term used in the sampling of short messages, each of the plurality of term frequency scores corresponding to a window of time of the media event and being indicative of a number of short messages containing the term in the corresponding window of time;

determining logic executed by the processor for determining, using the sampling of short messages, a plurality of normalized frequency scores corresponding to the plurality of term frequency scores, for each term frequency score, the corresponding normalized frequency score comprising a ratio of the term frequency score and a corpus term frequency, the corpus term frequency indicative of a number of short messages in the sampling containing the term;

determining logic executed by the processor for determining, using the plurality of normalized term frequency scores identified for the term, a maximum normalized term frequency score; and

identifying logic executed by the processor for identifying the segment from the window of time corresponding to the determined maximum normalized frequency score for the term.

19. The system of claim 11 , the identifying logic executed by the processor for identifying at least one term taken from the sampling of short messages further configured to:

determining logic executed by the processor for determining, using the sampling of short messages, a plurality of term frequency scores for a term used in the sampling of short messages, each of the plurality of term frequency scores corresponding to a window of time of the media event and being indicative of a number of short messages containing the term in the corresponding window of time;

determining logic executed by the processor for determining, using the plurality of term frequency scores identified for the term, whether the term's frequency of use is higher relatively at a time corresponding to the identified segment; and

identifying logic executed by the processor for identifying the term as a term indicative of a context of the identified segment if the term's frequency of use is higher relatively at a time corresponding to the identified segment.

20. The system of claim 19 , wherein each of the term frequency scores comprises a normalized frequency score, the normalized frequency score comprising a ratio of a term frequency indicative of a number of short messages containing the term for the window of time and a corpus term frequency indicative of a number of short messages in the sampling containing the term.

21. A non-transitory computer-readable storage medium tangibly storing thereon computer-readable instructions, the instructions comprising:

obtaining a sampling of short messages of a plurality of users, the sampling of short messages corresponding to a media event;

identifying, using the sampling of short messages, a segment in the media event, comprising identifying an onset and an end of the identified segment using levels of short messaging activity detected using the sampling of short messages, the levels comprising a level used in identifying the onset and a different level used in identifying the end; and

identifying a context for the identified segment using at least one term taken from the sampling of short messages.

22. The medium of claim 21 , the instructions further comprising:

selecting the sampling of short messages from a collection of short messages, the selecting comprising selecting short messages from at least one user of the plurality of users, the at least one user being a followcaster having at least a threshold number of subscribers.

23. The medium of claim 22 , the identifying a segment in the media event further comprising:

identifying the segment in the media event using the level of short message activity in connection with at least one user identified as a followcaster having at least a threshold number of subscribers.

24. The medium of claim 21 , the instructions further comprising:

selecting the sampling of short messages from a collection of short messages, the selecting comprising selecting short messages of a conversational-type.

25. The medium of claim 24 , wherein the conversational-type message contains an indication that the message is directed to one or more users.

26. The medium of claim 25 , wherein the indication comprises an indicator linking the message sender and the one or more users.

27. The medium of claim 21 , the identifying a segment in the media event further comprising:

identifying the segment in the media event using short messages identified as a conversational-type message.

28. The medium of claim 21 , the identifying a segment in the media event further comprising:

determining, using the sampling of short messages, a plurality of term frequency scores for a term used in the sampling of short messages, each of the plurality of term frequency scores corresponding to a window of time of the media event and being indicative of a number of short messages containing the term in the corresponding window of time;

determining, using the sampling of short messages, a plurality of normalized frequency scores corresponding to the plurality of term frequency scores, for each term frequency score, the corresponding normalized frequency score comprising a ratio of the term frequency score and a corpus term frequency, the corpus term frequency indicative of a number of short messages in the sampling containing the term;

determining, using the plurality of normalized term frequency scores identified for the term, a maximum normalized term frequency score; and

identifying the segment from the window of time corresponding to the determined maximum normalized frequency score for the term.

29. The medium of claim 21 , identifying at least one term taken from the sampling of short messages further comprising:

determining, using the sampling of short messages, a plurality of term frequency scores for a term used in the sampling of short messages, each of the plurality of term frequency scores corresponding to a window of time of the media event and being indicative of a number of short messages containing the term in the corresponding window of time;

determining, using the plurality of term frequency scores identified for the term, whether the term's frequency of use is higher relatively at a time corresponding to the identified segment; and

identifying the term as a term indicative of a context of the identified segment if the term's frequency of use is higher relatively at a time corresponding to the identified segment.

30. The medium of claim 29 , wherein each of the term frequency scores comprises a normalized frequency score, the normalized frequency score comprising a ratio of a term frequency indicative of a number of short messages containing the term for the window of time and a corpus term frequency indicative of a number of short messages in the sampling containing the term.