EXTRACTING AND MINING OF QUOTE DATA ACROSS MULTIPLE LANGUAGES

• US 20150134656A1
• Filed: 11/12/2013
• Published: 05/14/2015
• Est. Priority Date: 11/12/2013
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: GANDHE, ANKUR, VISWESWARIAH, KARTHIK, SINGH, AMIT KUMAR R.
• Granted Patent: US 9,569,530 B2
• Time in Patent Office: Days
• US Class Current: 707/736
• CPC Class Codes: G06F 16/3337 Translation of the query language, e.g. Chinese to English
• CPC Class Codes: G06F 16/34 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/345 Summarisation for human users

Abstract

Extracting and mining of quote data across multiple languages, including: retrieving, from a plurality of quote sources, a plurality of commentary summarizations, wherein each commentary summarization is embodied as a machine-readable data structure and wherein the plurality of commentary summarizations include information in at least two or more languages; for each commentary summarization: identifying, within the commentary summarization, quote data, wherein the quote data represents a quote from a commentator; creating a quote tuple for the quote data, the quote tuple including information associated with quantifiable aspects of the quote data; and storing, in a quote tuple repository, the quote tuple; mining, for quote analysis information, the quote tuple repository; and presenting, to a user, the quote analysis information.

Claims

1. A computer-implemented method of extracting and mining of quote data across multiple languages, the method comprising:

retrieving, from a plurality of quote sources, a plurality of commentary summarizations, wherein each commentary summarization is embodied as a machine-readable data structure and wherein the plurality of commentary summarizations include information in at least two or more languages;

for each commentary summarization;

identifying, within the commentary summarization, quote data, wherein the quote data represents a quote from a commentator;

creating a quote tuple for the quote data, the quote tuple including information associated with quantifiable aspects of the quote data; and

storing, in a quote tuple repository, the quote tuple;

mining, for quote analysis information, the quote tuple repository; and

presenting, to a user, the quote analysis information.

2. The method of claim 1 wherein each quote tuple includes:

information associated with an identity of the commentator;

information associated with a quote from the commentator;

information associated with a timing of the quote; and

information associated with a context of the quote.

3. The method of claim 1 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest;

identifying a commentator of interest; and

determining, for the commentator of interest, the commentator'"'"'s position on the particular topic of interest.

4. The method of claim 1 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest;

identifying commentators qualified to comment on the particular topic of interest;

determining, for each commentator qualified to comment on the particular topic of interest, the commentator'"'"'s position on the particular topic of interest; and

determining, in dependence upon each commentator'"'"'s position on the particular topic of interest, an expert position on the particular topic of interest.

5. The method of claim 1 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest;

identifying a commentator of interest; and

detecting, for the commentator of interest, a change in the commentator'"'"'s position on the particular topic of interest.

6. The method of claim 1 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest; and

identifying all commentators that that have issued a predetermined number of quotations on the particular topic of interest.

7. An apparatus for extracting and mining of quote data across multiple languages, the apparatus comprising a computer processor, a computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the steps of:

retrieving, from a plurality of quote sources, a plurality of commentary summarizations, wherein each commentary summarization is embodied as a machine-readable data structure and wherein the plurality of commentary summarizations include information in at least two or more languages;

for each commentary summarization;

identifying, within the commentary summarization, quote data, wherein the quote data represents a quote from a commentator;

creating a quote tuple for the quote data, the quote tuple including information associated with quantifiable aspects of the quote data; and

storing, in a quote tuple repository, the quote tuple;

mining, for quote analysis information, the quote tuple repository; and

presenting, to a user, the quote analysis information.

8. The apparatus of claim 7 wherein each quote tuple includes:

information associated with an identity of the commentator;

information associated with a quote from the commentator;

information associated with a timing of the quote; and

information associated with a context of the quote.

9. The apparatus of claim 7 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest;

identifying a commentator of interest; and

determining, for the commentator of interest, the commentator'"'"'s position on the particular topic of interest.

10. The apparatus of claim 7 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest;

identifying commentators qualified to comment on the particular topic of interest;

determining, for each commentator qualified to comment on the particular topic of interest, the commentator'"'"'s position on the particular topic of interest; and

determining, in dependence upon each commentator'"'"'s position on the particular topic of interest, an expert position on the particular topic of interest.

11. The apparatus of claim 7 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest;

identifying a commentator of interest; and

detecting, for the commentator of interest, a change in the commentator'"'"'s position on the particular topic of interest.

12. The apparatus of claim 7 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest; and

identifying all commentators that that have issued a predetermined number of quotations on the particular topic of interest.

13. A computer program product for extracting and mining of quote data across multiple languages, the computer program product disposed upon a computer readable medium, the computer program product comprising computer program instructions that, when executed, cause a computer to carry out the steps of:

retrieving, from a plurality of quote sources, a plurality of commentary summarizations, wherein each commentary summarization is embodied as a machine-readable data structure and wherein the plurality of commentary summarizations include information in at least two or more languages;

for each commentary summarization;

identifying, within the commentary summarization, quote data, wherein the quote data represents a quote from a commentator;

creating a quote tuple for the quote data, the quote tuple including information associated with quantifiable aspects of the quote data; and

storing, in a quote tuple repository, the quote tuple;

mining, for quote analysis information, the quote tuple repository; and

presenting, to a user, the quote analysis information.

14. The computer program product of claim 13 wherein each quote tuple includes:

information associated with an identity of the commentator;

information associated with a quote from the commentator;

information associated with a timing of the quote; and

information associated with a context of the quote.

15. The computer program product of claim 13 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest;

identifying a commentator of interest; and

determining, for the commentator of interest, the commentator'"'"'s position on the particular topic of interest.

16. The computer program product of claim 13 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest;

identifying commentators qualified to comment on the particular topic of interest;

determining, for each commentator qualified to comment on the particular topic of interest, the commentator'"'"'s position on the particular topic of interest; and

determining, in dependence upon each commentator'"'"'s position on the particular topic of interest, an expert position on the particular topic of interest.

17. The computer program product of claim 13 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest;

identifying a commentator of interest; and

detecting, for the commentator of interest, a change in the commentator'"'"'s position on the particular topic of interest.

18. The computer program product of claim 13 wherein mining, for quote analysis information, the quote tuple repository further comprises:

identifying a particular topic of interest; and

identifying all commentators that that have issued a predetermined number of quotations on the particular topic of interest.

19. The computer program product of claim 13 wherein the computer readable medium comprises a signal medium.

20. The computer program product of claim 13 wherein the computer readable medium comprises a storage medium.