Title:
EMOTION CLASSIFICATION METHOD FOR ANALYZING INHERENT EMOTIONS IN A SENTENCE, AND EMOTION CLASSIFICATION METHOD FOR MULTIPLE SENTENCES USING CONTEXT INFORMATION
Document Type and Number:
WIPO Patent Application WO/2012/134180
Kind Code:
A2
Abstract:
According to the emotion classification method for analyzing inherent emotions in a sentence proposed by the present invention, emotional characteristics of words constituting a sentence are extracted and inherent emotions in the sentence are classified using an emotion sorter. Thus, opinion-mining can be automatized via an automatic analysis of a sentence that contains a mood, opinion, and the like which can be collected online, marketing strategies can be quickly established via such opinion-mining, the evaluations of a company, brand, product, service and the like may be automatically analyzed, and a mood analysis may be automatically performed in a variety of fields, such as product evaluation surveys, public opinion surveys, and customer preference analyses.
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Inventors:
KANG HANG BONG (KR)
Application Number:
PCT/KR2012/002295
Publication Date:
October 04, 2012
Filing Date:
March 28, 2012
Export Citation:
Assignee:
CATHOLIC UNIV IND ACAD COOP (KR)
KANG HANG BONG (KR)
KANG HANG BONG (KR)
International Classes:
G06F17/27; G06F17/28
Foreign References:
| KR20090034052A | 2009-04-07 | |||
| KR100434526B1 | 2004-05-25 | |||
| JP2002117027A | 2002-04-19 | |||
| JP2005174330A | 2005-06-30 |
Other References:
KIM, MYEONG ET AL.: 'Artificial Intelligence : A Study of using Emotional Features for Information Retrieval Systems' JOURNAL OF KIPS vol. 10-8, no. 6, October 2003,
Attorney, Agent or Firm:
KIM, KEON WOO (KR)
김건우 (KR)
김건우 (KR)
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Claims: