CATEGORY CLASSIFICATION PROCESSING DEVICE AND METHOD

• US 20120239657A1
• Filed: 02/03/2012
• Published: 09/20/2012
• Est. Priority Date: 03/18/2011
• Status: Active Grant

• Current Assignee: Fujitsu Client Computing Limited (Lenovo Group Ltd.)
• Original Assignee: Fujitsu Limited
• Inventors: NAGANO, Reiko, INOUE, Hajime
• Granted Patent: US 9,552,415 B2
• Time in Patent Office: Days
• US Class Current: 707/740
• CPC Class Codes: G06F 16/353 into predefined classes

Abstract

A category classification processing device includes a search unit that stores, as a search keyword log assembly, Q&A examples, which are actually referred to by a client, together with keywords; and a category extracting unit that obtains keyword storage frequencies expressing a number of times each of the keywords, which are recorded together with the Q&A examples in the search keyword logs, is stored for each of the Q&A examples, extracts, as category candidates of each of the Q&A examples, an m number of top keywords (m being a positive integer) in a descending order of the keyword storage frequency, uses the extracted category candidates as categories, and associates the categories with the Q&A examples.

Claims

1. A category classification processing device comprising:

an example storage unit configured to store Q&

A (questions and answers) examples including pairs of questions and answers;

a log storage unit configured to store search keyword logs relevant to searching the Q&

A examples;

a search unit configured to

send, to a terminal device, an input screen image used for inputting one or more keywords,

search the example storage unit by using the one or more keywords input to the input screen image and extract Q&

A examples based on the one or more keywords,

send identification information items expressing the extracted Q&

A examples to the terminal device, and

store, in the log storage unit, search keyword logs including the identification information items relevant to the Q&

A examples which are actually referred to at the terminal device with the use of the identification information items, the identification information items in the search keyword logs being associated with the one or more keywords input to the input screen image; and

a category extraction unit configured to

obtain keyword storage frequencies expressing a number of times each of the keywords, which are recorded together with the Q&

A examples in the search keyword logs, is stored for each of the Q&

A examples,

extract, as category candidates of each of the Q&

A examples, an m number of top keywords (m being a positive integer) in a descending order of the keyword storage frequency,

use the extracted category candidates as categories, and

associate the categories with the Q&

A examples.

2. The category classification processing device according to claim 1, wherein

the category extraction unit is configured to

obtain keyword group storage frequencies expressing a number of times each keyword group is stored for each Q&

A example, each of the keyword groups including an n number of keywords (n being a positive integer) recorded together with the Q&

A examples in the search keyword log,

extract, as tentative sub category candidates of each Q&

A example, keywords belonging to an m number of top keyword groups in a descending order of the keyword group storage frequency,

use the extracted category candidates as categories and use the extracted tentative sub category candidates as sub categories, and

associate the categories with the sub categories and associate the sub categories with the Q&

A examples.

3. The category classification processing device according to claim 2, wherein

the category extraction unit is configured to

extract, as a first word, a keyword of the tentative sub category candidate matching the category candidate,

extract, as one or more second words, one or more keywords of the tentative sub category candidate other than the first word, and

use each of the one or more second words as the sub categories of the category when the category candidate matching the first word is used as the category.

4. The category classification processing device according to claim 2, further comprising:

a word number setting file storage unit configured to store a word number setting file in which a value of the n number is described.

5. The category classification processing device according to claim 2, wherein

when the number of keywords recorded together with each Q&

A example exceeds n, the category extraction unit extracts an n number of keywords from the number of keywords exceeding n, and groups together the extracted n number of keywords to generate a plurality of the keyword groups.

6. The category classification processing device according to claim 1, further comprising:

an extraction condition setting file storing unit configured to store an extraction condition setting file in which a value of the m number is described.

7. The category classification processing device according to claim 1, wherein

when extracting the category candidates, the category extraction unit is configured to sort the keywords in the descending order of the storage frequency for each Q&

A example, specify ranks to which the top m number of keywords belong, and extract all of or some of the keywords belonging to the specified ranks as the category candidates.

8. The category classification processing device according to claim 7, wherein

when extracting the category candidates, the category extraction unit is configured to determine, for each Q&

A example, whether a number of keywords belonging to the top rank is greater than or equal to m, and when greater than or equal to m keywords belong to the top rank, the category extraction unit extracts all of or some of the keywords belonging to the top rank as the category candidates, and when less than m keywords belong to the top rank, the category extraction unit determines whether a number of keywords belonging to a rank next to the top rank is greater than or equal to m.

9. The category classification processing device according to claim 7, wherein

when extracting the category candidates, the category extraction unit is configured to extract all of the keywords recorded together with each Q&

A example as the category candidates, when the number of the keywords recorded together with each Q&

A example is less than m.

10. The category classification processing device according to claim 1, wherein

the search unit is configured to

search the categories and the Q&

A examples, which are associated to each other by the category extraction unit, by using the one or more keywords input to the input screen image,

extract the Q&

A examples associated to the categories, and

send the identification information expressing the extracted Q&

A examples to the terminal device.

11. A category classification processing method comprising:

sending, to a terminal device, an input screen image used for inputting one or more keywords;

searching an example storage unit by using the one or more keywords input to the input screen image and extracting Q&

A (questions and answers) examples based on the one or more keywords, the example storage unit storing Q&

A examples including pairs of questions and answers;

sending identification information items expressing the extracted Q&

A examples to the terminal device;

storing, in a log storage unit, search keyword logs including the identification information items relevant to the Q&

A examples which are actually referred to at the terminal device with the use of the identification information items, the identification information items in the search keyword logs being associated with the one or more keywords input to the input screen image, the log storage unit storing search keyword logs relevant to searching the Q&

A examples;

obtaining keyword storage frequencies expressing a number of times each of the keywords, which are recorded together with the Q&

A examples in the search keyword logs, is stored for each of the Q&

A examples;

extracting, as category candidates of each of the Q&

A examples, an m number of top keywords (m being a positive integer) in a descending order of the keyword storage frequency;

using the extracted category candidates as categories; and

associating the categories with the Q&

A examples.

12. The category classification processing method according to claim 11, further comprising:

obtaining keyword group storage frequencies expressing a number of times each keyword group is stored for each Q&

A example, each of the keyword groups including an n number of keywords (n being a positive integer) recorded together with the Q&

A examples in the search keyword log;

extracting, as tentative sub category candidates of each Q&

A example, keywords belonging to an m number of top keyword groups in a descending order of the keyword group storage frequency;

using the extracted category candidates as categories and using the extracted tentative sub category candidates as sub categories; and

associating the categories with the sub categories and associating the sub categories with the Q&

A examples.

13. A non-transitory computer-readable recording medium storing a category classification processing program implementing a category classification processing device, wherein the category classification processing program causes a computer to execute a method comprising:

sending, to a terminal device, an input screen image used for inputting one or more keywords;

searching an example storage unit by using the one or more keywords input to the input screen image and extracting Q&

A (questions and answers) examples based on the one or more keywords, the example storage unit storing Q&

A examples including pairs of questions and answers;

sending identification information items expressing the extracted Q&

A examples to the terminal device;

storing, in a log storage unit, search keyword logs including the identification information items relevant to the Q&

A examples which are actually referred to at the terminal device with the use of the identification information items, the identification information items in the search keyword logs being associated with the one or more keywords input to the input screen image, the log storage unit storing search keyword logs relevant to searching the Q&

A examples;

obtaining keyword storage frequencies expressing a number of times each of the keywords, which are recorded together with the Q&

A examples in the search keyword logs, is stored for each of the Q&

A examples;

extracting, as category candidates of each of the Q&

A examples, an m number of top keywords (m being a positive integer) in a descending order of the keyword storage frequency;

using the extracted category candidates as categories; and

associating the categories with the Q&

A examples.

14. The non-transitory computer-readable recording medium according to claim 13, the method further comprising:

obtaining keyword group storage frequencies expressing a number of times each keyword group is stored for each Q&

A example, each of the keyword groups including an n number of keywords (n being a positive integer) recorded together with the Q&

A examples in the search keyword log;

extracting, as tentative sub category candidates of each Q&

A example, keywords belonging to an m number of top keyword groups in a descending order of the keyword group storage frequency;

using the extracted category candidates as categories and using the extracted tentative sub category candidates as sub categories; and

associating the categories with the sub categories and associating the sub categories with the Q&

A examples.