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1. (WO2015065290) MICROPOST BRAND MONITORING
Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

Claims

What is claimed is:

1. An information determination device comprising:

an account crawler configured to determine data from at least one pre-determined user account; and

. an information determiner configured to determine information related to a predetermined organization based on the data.

2. The information determination device of claim 1,

wherein the account crawler comprises a known account crawler configured to determine the data from at least one account for the organization.

3. The information determination device of claim 1 or 2,

wherein the account crawler comprises a key-user crawler configured to determine the data from at least one account of a key user.

4. The information determination device of any one of statements I to 3, further comprising:

a keyword crawler configured to determine further data based on at least one predetermined keyword;

wherein the information determiner is fiirther configured to determine the information further based on the further data.

5. The information determination device of any one of claims I to 4,

wherein the keyword crawler comprises a fixed keyword crawler configured to determine the further data based on at least one fixed keyword.

6. The information deteiraination device of any one of claims 1 to 5,

wherein the keyword crawler comprises a dynamic keyword crawler configured to determine the further data based on at least one dynamic keyword, wherein at least one dynamic keyword is changed based on processing of the information determination device.

7. The information determination device of any one of claims 1 to 6, further comprising:

a user friend list crawler configured to determine a user graph of users in a social relationship with at least one of the organization or each other.

8. The information determination device of claim 7,

wherein the account crawler is further configured to determine the at least one pre-determined user account based on the user graph.

9. The infonnation determination device of any one of claims 1 to 8, further comprising:

a classifier configured to classify the data into data relevant to the pre-determined organization and data irrelevant to the pre-determined organization.

10. The infoimation determination device of claim 9,

wherein the infonnation determiner is further configured to determine the information based on the data relevant to the pre-determined organization,

11. The information determination device of any one of claims 1 to 10, further comprising:

a topic miner configured to detect whether the determined information related to the pre-determined organization is related to an evolving topic or to an emerging topic about the pre-determined organization.

12. The information determination device of claim 6, further comprising:

a topic miner configured to detect whether the determined information related to the pre-determined organization is related to an evolving topic or to an emerging topic about pre-determined organization;

wherein the dynamic keyword crawler is further configured to determine the at least one dynamic keyword based on the information of the evolving topic and based on the information of the emerging topic.

13. The information determination device of claim 9,

wherein the account crawler is further configured to determine the at least one pre-determined user account based on the data relevant to the pre-determined organization.

14. The information determination device of any one of claims 9, 10 or 13,

wherein the classifier is configured to classify the data based on learning,

15. The infonnation deteimination device of any one of claims 9, 10, 13 or 14,

wherein the classifier is configured to classify the data based on a support vector machine.

16. The information determination device of claim 1 1 ,

wherein the topic miner is configured to detect whether the determined infonnation related to the pre-determined organization is related to the evolving topic or to the emerging topic based on learning.

17. The infonnation determination device of claim 1 1 or 16,

wherein the topic miner is configured to detect whether the determined information related to the pre-determined organization is related to an evolving topic or to an emerging topic based on solving an optimization problem.

18. The information determination device of claim 17,

wherein the optimization problem comprises a temporal continuity constraint.

19. The information determination device of claim 17 or 18,

wherein the optimization problem comprises a sparse matching constraint.

20. The information determination device of any one of claims 17 to 19, further comprising:

an optimization problem solver configured to solve the optimization problem based on a least angle regression.

21. The information determination device of any one of claims 1 1 , 17, 18, 19, or 20 further comprising:

a trivial topic purging circuit configured to remove old topics from evolving topics and emerging topics.

22. An information determination method comprising:

determining data from at least one pre- determined user account; and

deteimining information related to a pre- determined organization based on the data.

23. The information determination method of claim 22, further comprising:

determining the data from at least one account for the organization.

24. The information determination method of claim 22 or 23, further comprising: determining the data from at least one account of a key user.

25. The infonnation determination method of any one of claims 22 to 24, further comprising:

determining further data based on at least one pre- determined keyword; and determining the information further based on the further data,

26. The information determination method of any one of claims 22 to 25, further comprising:

determining the further data based on at least one fixed keyword.

27. The information determination method of any one of claims 22 to 26, further comprising:

determining the further data based on at least one dynamic keyword, wherein the at least one dynamic keyword is changed based on processing of the information determination method.

28. The infonnation determination method of any one of claims 22 to 27, further comprising:

detennining a user graph of users in a social relationship with at least one of the organization or each other.

29. The information determination method of claim 28, further comprising:

determining the at least one pre-detennined user account based on the user graph.

30. The information determination method of any one of claims 22 to 29, further comprising:

classifying the data into data relevant to the pre-determined organization and data irrelevant to the pre-determined organization.

31. The infonnation determination method of claim 30, further comprising:

determining the information based on the data relevant to the pre-detennined organization.

32. The infonnation determination method of an one of claims 22 to 31, further comprising:

detecting whether the determined infonnation related to the pre-determined organization is related to an evolving topic or to an emerging topic.

33. The information determination method of claim 27, further comprising:

detecting whether the determined information related to the pre-detennined organization is related to an evolving topic or to an emerging topic; and detennining the at least one dynamic keyword based on the information of the evolving topic and based on the information of the emerging topic.

34. The information determination method of claim 30, further comprising:

determining the at least one pre-determined user account based on the data relevant to the pre-determined organization.

35. The information determination method of any one of claims 30, 31 or 34, further comprising:

classifying the data based on learning,

36. The information determination method of any one of claims 30, 31, 34 or 35, further comprising:

classifying the data based on a sup ort vector machine.

37. The information determination method of claim 32, further comprising:

detecting whether the determined infoiraation related to the pre-determined organization is related to the evolving topic or to the emerging topic based on learning.

8. The information determination method of claim 32 or 37, further comprising: detecting whether the determined infoimation related to the pre-determined organization is related to an evolving topic or to an emerging topic based on solving an optimization problem,

39. The information determination method of claim 38,

wherein the optimization problem comprises a temporal continuity constraint.

The information determination method of claim 38 or 39,

wherein the optimization problem comprises a sparse matching constraint.

41. The information deteiTnination method of any one of claims 38 to 40, further comprising:

solving the optimization problem based on a least angle regression.

42. The information determination method of any one of claims 32, 38, 39, 40, or 41 further comprising:

removing old topics from evolving topics and emerging topics.