• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.476-482
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• 2004

Question-Answering (QA) system has to analyze user's intention correctly to respond correct answer for user's question., This paper proposes a focus-word-based question analysis approach for Korean QA system to analyze user's intention correctly. focus-word is a clue-word which selects question type. The question type is determined to one in 75 subcategories using semantics of focus-words. the proposed system accomplished 97.18% accuracy for the main category and 95.31% accuracy for the subcategory in the question classification.

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.423-430
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• 2016

The results of the response in the Self-report survey are occurred differently according to situational factors and personal characteristics. This study attempts to examine the effects of the question-order and question-intentions in surveys of job satisfaction. Four types of questionnaires were used in consideration of the difference between Whole Questions and detail Questions in question-order and the difference between job satisfaction measurement and job dissatisfaction measurement in question-intentions. This study surveyed 94 employees. As a result, the order and intention of questions could affect respondent's answers. However, It was not statistically significant support. Also, this study suggest significant implications, limits of this study and research direction of future study.

• The Journal of the Korea Contents Association
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• v.6 no.3
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• pp.12-19
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• 2006

In this paper, we describe a deep analysis of question for question answering system. It is difficult to offer the correct answer because general question answering systems do not analyze the semantic of user's natural language question. We analyze user's question semantically and extract semantic features using the semantic feature extraction grammar and characteristics of natural language question. They are represented as semantic features and grammatical morphemes that consider semantic and syntactic structure of user's questions. We evaluated our approach using 100 questions whose answer type is a person in the web. We showed that a deep analysis of questions which are comparatively short but enough to mean can analysis the user's intention and extract semantic features.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.179-186
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• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.

• Culinary science and hospitality research
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• v.18 no.5
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• pp.95-112
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• 2012

The purpose of this study is to carry out the exploratory study on the preference and purchase intention of fusion bibimbap as opposed to tradition-bibimbap. In order to achieve the purpose of this study, the survey was conducted to the consumer who use the subway in Seoul from Apr. 3. ~ Apr. 10. 2012, and total 288 valid copies of questionnaire were used for final analysis. The result showed that 190 persons were positive in preference for bibimbap, and the reasons were 'easy to eat' and 'a taste'. Consumer put 'spicy seafood bibimbap', 'pork cutlet bibimbap', 'sashimi bibimbap', 'chicken teriyaki bibimbap', 'bibimbap spinach lasagna' at question about preference of fusion bibimbap. Consumer put 'spicy seafood bibimbap', 'pork cutlet bibimbap', 'sashimi bibimbap', 'crab bibimbap', 'chicken bibimbap' at question purchase intention of fusion bibimbap. In addition, There was significant difference in the preference and the purchase intention of fusion bibimbap according to gender, marital status, age, and education.

• Journal of Korean society of Dental Hygiene
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• v.15 no.4
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• pp.641-648
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• 2015

Objectives: The purpose of the study is to investigate the relationship between emotional labor, burnout and turnover intention in the dental hygienists. Methods: A self-reported questionnaire was completed by 326 dental hygienists in Seoul and Gyeonggido from September to October, 2013. The collected data were analyzed by SPSS/WIN 15.0 program. The questionnaire consisted of nine questions of the general characteristics of the subjects, ten questions of turnover intention, and fourteen questions of burnout. Each question was measured by Likert 5 point scale. Results: There was a significant difference in workplace and monthly income which had an impact on emotional expression(p<0.05). There was a significant difference in current workplace and monthly income which had an impact on emotional dissonance(p<0.05). Burnout had a significant difference(p<0.05) in age, religion, and turnover intention current workplace, employment condition, and the number of turnover. There was a positive correlation between burnout and turnover intention. It was shown that Emotional labor had a positive correlation with burnout and turnover intention and the explanation power was 18.1%. Conclusions: The dental hygienists are one of the most vulnerable emotional labor workers and are apt to feel exhaustion from the job and turnover intention. It is necessary to prepare for the burnout and turnover intention in the dental hygienists.

• International Journal of Knowledge Content Development & Technology
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• v.7 no.1
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• pp.101-120
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• 2017

Healthcare professionals have edited many health questions (HQs) and their answers for healthcare consumers on the Internet. The HQs provide both readable and reliable health information, and hence retrieval of those HQs that are relevant to a given question is essential for health education and promotion through the Internet. However, retrieval of relevant HQs needs to be based on the recognition of the intention of each HQ, which is difficult to be done by predefining syntactic and semantic rules. We thus model the intention recognition problem as a text classification problem, and develop two techniques to improve a learning-based text classifier for the problem. The two techniques improve the classifier by location-based and area-based feature weightings, respectively. Experimental results show that, the two techniques can work together to significantly improve a Support Vector Machine classifier in both the recognition of HQ intentions and the retrieval of relevant HQs.

• Asia-Pacific Journal of Business
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• v.4 no.1
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• pp.1-14
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• 2013

In spite of the interest related to the entrepreneurship, the problems related to the creation of companies by the public civils servant still remain unanswered and not unanimously identified. In fact, a central question arises in this respect: "which are the factors which encourage the public civils servant to launch out in the creation of their own company?" or "how can one explain the entrepreneurial intention of the public civils servant?". For this end, and after having reviewed the principal subjacent factors of the entrepreneurial intention as well as the central assumptions of our research task, we will devote the second part to the empirical validation of the explanatory factors of the entrepreneurial intention in the specific case of the Indian public civils servant while proposing some recommendations on the matter.

• Asian Journal for Public Opinion Research
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• v.10 no.2
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• pp.76-101
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• 2022

Despite the increasing use of digital media and their powerful impact on risk management during recent outbreaks of emerging infectious diseases, the question of how digital media exposure influences preventive behaviors has not been fully explained. Using the appraisal tendency framework and protection motivation theory as theoretical frameworks, we theorized the affective and cognitive mechanisms under which the differential roles of three negative emotions (fear, anger, worry) on two cognitive appraisals (perceived threat and perceived efficacy) were examined. Based on data collected from a survey of 1,500 South Koreans during the COVID-19 pandemic, we found that while worry and anger increased perceived efficacy, fear reduced perceived efficacy. The results also showed that although exposure to COVID-19 information via digital formats increased preventive behavioral intention in general, digital media use for COVID-19 information had a negative influence on preventive behavioral intention through the sequential mediation of fear and perceived efficacy.

• Korean Journal of Childcare and Education
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• v.13 no.1
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• pp.185-200
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• 2017

Objective: This study was conducted to investigate the effects of early childhood teachers' teaching beliefs, mathematics teaching efficacy, and pedagogical content knowledge of mathematics on their teaching intention of mathematics. Methods: A total of 266 early child teachers in Busan participated in this study. They completed a set of question naires which consisted of questions about teaching beliefs, mathematics teaching efficacy, pedagogical content knowledge of mathematics, and the teaching intention of mathematics. The collected data were analyzed using the SPSS program. Results: First, we observed several positive correlations among the four variables. Second, we found that early childhood teachers' constructive teaching beliefs, mathematics teaching efficacy, and pedagogical content knowledge of mathematics had effects on their teaching intention of mathematics. The knowledge about teaching-learning methods for mathematics among the subcategories of pedagogical content knowledge of mathematics was observed as the strongest predictor for the teachers' teaching intention. Conclusion: We need to take more interest in the pedagogical knowledge about teaching-learning methods of mathematics in teacher training courses in order to enhance teachers' teaching intention of mathematics. As a result, this will makea contribution to high quality math education for young children.