REAL-TIME INFORMATION MINING

• US 20120209879A1
• Filed: 02/11/2011
• Published: 08/16/2012
• Est. Priority Date: 02/11/2011
• Status: Active Grant

• Current Assignee: Wrp IP Management, LLC
• Original Assignee: International Business Machines Corporation
• Inventors: Banerjee, Nilanjan, Chakraborty, Dipanjan, Joshi, Anupam, Mittal, Sumit, Nagar, Seema, Dasgupta, Koustuv, Rai, Angshu
• Granted Patent: US 8,898,163 B2
• Time in Patent Office: Days
• US Class Current: 707/776
• CPC Class Codes: G06F 16/338 Presentation of query results

Abstract

Embodiments of the invention are related to identifying a user'"'"'s intent dynamically from at least a set of metadata associated with the user, wherein the set of metadata is associated with a user input, and providing to the user a set of labeled instances on determination of a user'"'"'s intent, the set of labeled instances being directly related to user'"'"'s intent, where the set of labeled instances are obtained in real-time from a set of information repositories.

Claims

1. A method comprising:

identifying a user associated with a text expression containing one or more content-indicative words;

classifying data of the text expression using one or more classifiers, said classifying comprising using the one or more content-indicative words to identify an intent of a user;

on determination of intent of a user based on said identifying and classifying, providing to the user data related to the intent of the user obtained in real-time from a set of information repositories.

2. The method as claimed in claim 1, further comprising identifying the intent of the user from at least a set of metadata associated with the user, wherein the set of metadata is associated with user input.

3. The method as claimed in claim 2, further comprising:

analyzing the user input comprising the set of metadata based to ascertain an intention associated with the user;

based on the intention ascertained, obtaining the data related to the intent of the user in real-time from a set of information repositories; and

providing the data related to the intent of the user to the user.

4. The method as claimed in claim 2, wherein the user input comprises at least one input associated with one or more of:

an email, an instant message, a short message, a telephone call, and a browser.

5. The method as claimed in claim 4, wherein the user input is composed on a user device.

6. The method as claimed in claim 5, wherein the user intent is dynamically determined from the user input.

7. The method as claimed in claim 5, wherein the user input is transmitted form a user device.

8. The method as claimed in claim 3, wherein the analysis of the set of metadata is based on at least a set of pre-defined rules.

9. The method as claimed in claim 1, wherein the intent of the user comprises at least one of structured data and unstructured data.

10. The method as claimed in claim 3, wherein said obtaining the data related to the intent of the user in real-time from a set of information repositories comprises:

connecting to a network, wherein the network comprises the information repositories; and

mining the information repositories.

11. The method as claimed in claim 10, further comprising:

classifying a set of metadata into pre-defined categories;

mapping the pre-defined categories in real-time with the intent of the user to ascertain the data related to the intent of the user.

12. (canceled)

13. A system comprising:

at least a processor; and

a memory;

wherein said at least one processor and said memory are configured to;

identify a user associated with a text expression containing one or more content-indicative words;

classify data of the text expression using one or more classifiers, said classifying comprising using the one or more content-indicative words to identify an intent of a user; and

provide to the user data;

related to the intent of the user obtained in real-time from a set of information repositories.

14. The system as claimed in claim 13, wherein said at least one processor and said memory are further configured to identify the intent of the user from at least a set of metadata associated with the user, wherein the set of metadata is associated with a user input.

15. The system as claimed in claim 14, wherein said at least one processor and said memory are further configured to analyze the user input comprising the set of metadata to ascertain an intention associated with the user;

based on the intention ascertained, obtain the data related to the intent of the user in real-time from a set of information repositories; and

provide the data related to the intent of the user to the user.

16. The system as claimed in claim 14, wherein the user input comprises at least one input associated with one or more of:

an email, an instant message, a short message, a telephone call, and a browser, wherein the user input is composed on a user device, and wherein the intent of the user is dynamically determined from the user input.

17. The system as claimed in claim 15, wherein analysis of the set of metadata is based on at least a set of pre-defined rules.

18. The system as claimed in claim 13, wherein the intent of the user comprises at least one of structured data and unstructured data.

19. The system as claimed in claim 18, wherein to obtain the data related to the intent of the user in real-time from a set of information repositories comprises:

connecting to a network, wherein the network comprises the information repositories; and

mining the information repositories.

20. The system as claimed in claim 18, wherein said at least one processor and said memory are further configured to:

classify a set of metadata into pre-defined categories; and

mapping the pre-defined categories in real-time with the intent of the user to ascertain the data related to the intent of the user.

21. (canceled)

22. A computer program product, comprising:

a computer readable storage medium having computer readable program code embodied therewith and executable by at least one processor, the computer readable program code comprising;

computer readable program code configured to;

identify a user associated with a text expression containing one or more content-indicative words;

classify data of the text expression using one or more classifiers, said classifying comprising using the one or more content-indicative words to identify an intent of a user; and

provide to the user data related to the intent of the user.

23. The computer program product of claim 22, wherein the text expression is a short text expression not more than 140 characters.