Public safety analysis system

1. A computer-implemented method comprising:

evaluating, using an analysis module of a public-safety analysis system, user-generated content associated with at least one content source;

identifying, using the analysis module of the public-safety analysis system, a putative public-safety incident based at least in part on the evaluation of the user-generated content; and

providing, using an output module of the public-safety analysis system, a representation of the putative public-safety incident to a client of the public-safety analysis system.

2. The method of claim 1 , wherein the content source includes at least one of a social networking website, a software application, a blog, and a microblog.

3. The method of claim 1 , wherein the user-generated content includes at least one of user-generated text, user-generated images, user-generated audio content, and user-generated videos.

4. The method of claim 1 , wherein evaluating the user-generated content includes identifying user-generated content associated with public safety.

5. The method of claim 4 , wherein identifying the putative public-safety incident includes identifying the putative public-safety incident based on the identified user-generated content.

6. The method of claim 1 , wherein identifying the putative public-safety incident includes identifying the putative public-safety incident based on subject matter of the user-generated content and a location associated with the user-generated content.

7. The method of claim 1 , further comprising evaluating metadata associated with the user-generated content.

8. The method of claim 1 , further comprising evaluating public-safety data.

9. The method of claim 8 , wherein identifying the putative public-safety incident further comprises identifying the putative public-safety incident based further in part on the evaluation of the public-safety data.

10. The method of claim 8 , further comprising providing a representation of at least some of the public-safety data to the client of the public-safety analysis system.

11. The method of claim 8 , wherein the public-safety data includes data associated with at least one of a source of real-time first responder dispatch data and historical first responder dispatch data.

12. The method of claim 8 , wherein the public-safety data includes data related to at least one of weather, traffic, and current events.

13. The method of claim 8 , wherein the public-safety data includes location-specific data.

14. The method of claim 8 , wherein the public-safety data includes privately accessible public-safety data.

15. The method of claim 1 , wherein providing a representation of the putative public-safety incident includes displaying, on a user interface, a representation indicative of a probability that the putative public-safety incident is a true public-safety incident.

16. The method of claim 1 , wherein providing a representation of the putative public-safety incident includes displaying, on a user interface, a representation indicative of a severity of the putative public-safety incident.

17. The method of claim 1 , further comprising receiving information indicative of a recommended response to the putative public-safety incident.

18. A computer-implemented method comprising:

receiving, at an input module of a public-safety analysis system, a specification of a characteristic of a public-safety incident;

evaluating, using an analysis module of the public-safety analysis system, user-generated content associated with at least one content source, including identifying at least some of the user-generated content as relevant to the public-safety incident based on a comparison between the user-generated content and the characteristic of the public-safety incident; and

providing, using an output interface of the public-safety analysis system, a representation of the public-safety incident to a client of the public-safety analysis system.

19. The method of claim 18 , wherein the content source includes at least one of a social networking website, a software application, a blog, and a microblog.

20. The method of claim 18 , wherein the user-generated content includes at least one of user-generated text, user-generated images, user-generated audio content, and user-generated videos.

21. The method of claim 18 , wherein the characteristic of the public-safety incident includes at least one of a location of the public-safety incident and a time of the public-safety incident.

22. The method of claim 21 , wherein evaluating the user-generated content includes at least one of comparing a location associated with the user-generated content and the location of the public-safety incident and comparing a time associated with the user-generated content and a time of the public-safety incident.

23. The method of claim 18 , wherein the characteristic of the public-safety incident includes at least one of a category of the public-safety incident and a keyword associated with the public-safety incident.

24. The method of claim 23 , wherein evaluating the user-generated content includes comparing a topic of the user-generated content with the category of the public-safety incident.

25. The method of claim 23 , wherein evaluating the user-generated content includes identifying user-generated content that includes the keyword of the public-safety incident.

26. The method of claim 18 , further comprising evaluating metadata associated with the user-generated content.

27. The method of claim 18 , further comprising evaluating public-safety data, including identifying at least some of the public-safety data as relevant to the public-safety incident.

28. The method of claim 27 , further comprising providing a representation of at least some of the public-safety data to the client of the public-safety analysis system.

29. The method of claim 27 , wherein the public-safety data includes data associated with at least one of a source of real-time first responder dispatch data and historical first responder dispatch data.

30. The method of claim 27 , wherein the public-safety data includes data related to at least one of weather, traffic, and current events.

31. The method of claim 27 , wherein the public-safety data includes location-specific data.

32. The method of claim 27 , wherein the public-safety data includes private public-safety data.

33. The method of claim 18 , wherein providing a representation of the public-safety incident includes displaying, on a user interface, a representation of at least some of the user-generated content relevant to the public-safety incident.

34. The method of claim 18 , wherein providing a representation of the public-safety incident includes displaying, on a user interface, a representation indicative of at least one of the severity of the public-safety incident and the predicted severity of the public-safety incident.

35. The method of claim 18 , further comprising receiving information indicative of a recommended response to the public-safety incident.

36. A non-transitory machine-readable medium that stores executable instructions for causing a machine to:

identify user-generated content relevant to a public-safety incident, the public safety incident occurring at an incident location, including:

evaluating user-generated content associated with at least one content source, including identifying a first set of user-generated content associated with the incident location;

processing the first set of user-generated content against a dictionary of public-safety keywords, including identifying a second set of user-generated content, each item of user-generated content in the second set of user-generated content including at least one of the public-safety keywords;

for each item of user-generated content in the second set of user-generated content, determining a likelihood that the item of user-generated content is relevant to the public-safety incident based at least in part on a context of the public-safety keyword; and

assigning a relevance score to each item of user-generated content in the second set of user-generated content, the relevance score indicative of the likelihood that the item of user-generated content is relevant to the public-safety incident.

37. The method of claim 36 , wherein determining the likelihood that the item of user-generated content is relevant to the public:

safety incident includes identifying negative keywords in the item of user-generated content.

38. The method of claim 36 , wherein the likelihood that the item of user-generated content is relevant to the public-safety incident is based at least in part on a likelihood that another item of user-generated content in the second set of user-generated content is relevant to the public-safety incident.

39. The method of claim 36 , wherein determining the likelihood that the item of user-generated content is relevant to the public-safety incident includes determining a number of items of user-generated content in the second set of user-generated content that are relevant to the public-safety incident.

40. The method of claim 36 , wherein determining the likelihood that the item of user-generated content is relevant to the public-safety incident includes determining a time-related characteristic of the items of user-generated content in the second set of user-generated content.

41. The method of claim 36 , further comprising determining a severity of the public-safety incident based on at least one of content of the items of user-generated content in the second set of user-generated content and a time-related characteristic of the items of user-generated content in the second set of user-generated content.

42. The method of claim 36 , further comprising forming the dictionary of public-safety keywords.

43. The method of claim 42 , wherein forming the dictionary of public-safety keywords includes identifying public-safety keywords based on an analysis of a correlation between a potential keyword and a public-safety incident.