• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.318-324
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• 2020

The present study was conducted to investigate the influences of emotion priming and the number of negation words on the task of sentential predicate reasoning in groups with or without anxiety symptoms. 3 types of primed emotions and 2 types of stimulus and 3 conditions of negation words were used as a within-subject variable. The subjects were instructed to make facial expressions that match the directions, and were asked to choose the correct answer from the given examples. Mixed repeated measured ANOVA analyses on reaction time first showed main effects for the variables of emotion, stimulus, number of negation words and anxiety level, and the interaction effects for the negation words x anxiety combination. These results are presumably suggested to reflect that externally intervening emotion works on language comprehension in a way that anxiety could delay task processing speed regardless of the emotion and stimulus type, meanwhile the number of negation words can slower language processing only in a anxiety group. Implications and limitations were discussed for the future work.

• Journal of Internet Computing and Services
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• v.14 no.4
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• pp.91-100
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• 2013

In recent years, online brand communities, whereby firms and customers interact freely, are emerging trend, because customers' opinions collected in these communities can help firms to achieve their innovation effectively. In this study, we examined whether customer opinions containing negative emotions have influence on their adoption for organizational innovation. To that end, we firstly classified negative emotions into five categories of detailed negative emotions such as Fear, Anger, Shame, Sadness, and Frustration. Then, we developed a lexicon for each category of negative emotions, using WordNet and SentiWordNet. From 81,543 customer opinions collected from MyStarbucksIdea.com which is Starbucks' brand community, we extracted terms that belong to each lexicon. We conducted an experiment to examine whether the existence, frequency and strength of terms with negative emotions in each category affect the adoption of customer opinions for organizational innovation. In the experiment, we statistically verified that there is a positive relationship between customer ideas containing negative emotions and their adoption for innovation. Especially, Frustration and Sadness out of the five emotions are significantly influential to organizational innovation.

• Archives of design research
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• v.17 no.2
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• pp.199-208
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• 2004

In cyberspace based on internet, users constitute communities and interact one another. Avatar means not only the other self but also the 'another being' that describes oneself in the cyberspace. If user's avatar shows expressive faces and behaves according to his thinking and emotion, he will have a feel of reality much more in the cyberspace. If avatar's countenances can be animated by just typing characters in avatar-based chat communication, the user is able to express his emotions more effectively. In this study, emotion-expressing vocabulary is analyzed and classified. Emotion-expressing vocabulary is essential to develop self-reactive avatar system in which avatar's countenances are automatically converted according to the words typed by users at chat. The results are as follows; First, emotion-expressing vocabulary selected out of Korean adjectives and intransitive verbs is made up of 209 words and is classified into 25 groups. Second, there are only 2 groups out of the 25 groups for positive expressions and others are for negative expressions. Therefore, negative expressions are more abundant than positive expressions in Korean vocabulary. Third, avatar's countenances are modelled according to the 25 groups by using the Quantification Method 3. The result shows that the emotion-expressing vocabulary has dose relations with avatar's countenances and is useful to communicate users' emotions. However, this study has some limits, in that Korean linguistical structure - the whole meaning of context - cannot be interpreted quantitatively.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.07a
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• pp.264-266
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• 2010

집단에 의해 자유롭게 생성되는 데이터 중 댓글을 활용하여 수익을 내려는 포털사이트들이 증가하고 있는 추세이며, 물건이나 콘텐츠에 대한 사용 후기를 바탕으로 평가하는데 있어서 품질이 높을 때와 낮을 때, 사용 후기의 유효성과 신뢰성 판단이 달라진다. 그만큼 댓글은 중요하게 다뤄지고 있다. 본 연구에서는 동영상콘텐츠로부터 추출된 댓글을 활용하여 긍정적인 감성어휘와 부정적인 감성어휘 그리고 강조 감성어휘를 도출하여 평가가 높은 동영상 콘텐츠를 추천하는 모델을 설계하고자 한다.

• Science of Emotion and Sensibility
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• v.7 no.1
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• pp.41-49
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• 2004

The affective words on photographic images were analyzed and a model was structured. Based on this model, the effects of color on the affections were studied. In study 1, the photographic images with various materials and techniques were presented and the affective responses are collected. The factor analysis using principal axing method showed that the variance of the affective words could be explained about 42％ by the three factors. These are named positive-negative, dynamic-static, light-heavy, respectively. In study 2, the effects of color on the affections were evaluated on three basic dimensions. Ninety representative color images were converged black-and-white images, and each of 180 images was rated on the three affective scales. The t-test showed that the effects of color are statistically significant on the three affective scales, respectively. The achromatic images were felt more negative, more static, and heavier than chromatic images.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.541-548
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• 2016

The use of social media is already essential as a source of information for listening user's various opinions and monitoring. We define social 'risks' that issues effect negative influences for public opinion in social media. This paper aims to discriminate various linguistic features and reveal their effects for building an automatic classification model of social risks. Expecially we adopt a word embedding technique for representation of linguistic clues in risk sentences. As a preliminary experiment to analyze characteristics of individual features, we revise errors in automatic linguistic analysis. At the result, the most important feature is NE (Named Entity) information and the best condition is when combine basic linguistic features. word embedding, and word clusters within core predicates. Experimental results under the real situation in social bigdata - including linguistic analysis errors - show 92.08% and 85.84% in precision respectively for frequent risk categories set and full test set.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.67-71
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• 1999

본 연구는 감성의 객관적 분류기술을 기반으로 인간의 감성을 이해하고 감성의 변화에 능동적으로 반응하는 사용자 중심의 감성컴퓨터를 개발하기 위한 목적으로 진행되었으며, 컴퓨터 사용자를 대상으로 컴퓨터 사용 시에 자주 경험하는 감성상태를 나타내는 어휘와 감성유발상황을 브레인 스토밍과 설문을 통하여 조사하고 분석 및 분류하였다. 컴퓨터 사용자가 컴퓨터를 사용할 때 느끼는 감성상태를 표현하는 어휘는 쾌.불쾌 및 각성.이완의 2 차원적으로 분류하였으며, 컴퓨터 작업환경에서 감성상태를 유발하는 상황도 결과적으로 2 차원적으로 분류되었다. 이는 2 차원적 감성분류알고리즘의 개발과, 특히 부정적 감성을 경감시킬 수 있는 사용자 인터페이스 개발을 위한 기초연구에 활용될 수 있다.

• Korea Information Processing Society Review
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• v.11 no.2
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• pp.76-87
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• 2004

기계번역은 자연어 처리 및 인공지능 분야에서 가장 어려 운 태스크 중의 하나로 인식되어 왔다. 이는 정확한 번역이란 텍스트에 대한 이해 없이는 불가능하기 때문이다. 그러한 이유로 연구자들은 한때 기계번역에 대한 부정적인 결론에 도달하기도 하였다. 지금까지 기계번역을 위해 다양한 방법이 연구되어 왔으며 이들 연구에서는 주로 두 언어에 대한어휘나 구의 대역사전, 숙어사전, 개별 언어의 문법, 혹은 변환규칙 및 변환사전, 문장생성에 관련된 지식, 의미나 실세계 지식, 도메인에 적합한 지식 등 번역의 방식과 목적에 따라 다양한 형태의 지식과 알고리즘이 적용되었으며 그 대부분은 방대한 양의 수작업에 의존적이었다.(중략)

• Korean Journal of Childcare and Education
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• v.11 no.6
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• pp.1-18
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• 2015

The purpose of this study was to investigate the effects of the home environment of young children on their language and the quality of peer competence. The current study hypothesized that when the home environment of young children is desirable, the young children would be more likely to develop better language skills, which in turn, predict greater peer competence and lower levels of aggression and withdrawal in the interaction with peers at child care settings. The study used data of 1,802 families who have been participating in the Korean Child Panel Study since 2008. The results revealed that there was a significant relation from both positive home environment and better language skills to more positive play interaction and reduced play disruption and play disconnection. Home environment significantly predicted better expressive language development of young children and, in turn, higher scores on expressive vocabulary tests predicted greater peer competence and less negative play behaviors rated by child care providers. Statistical tests proved that the mediational effects of language skills between home environment and toddler's peer relationships were statistically significant. The study results emphasized the importance of language development in children's expanding social settings and the supporting role of rich and stimulus home environments in children's development.

• Journal of the Korean School Mathematics Society
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• v.20 no.3
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• pp.211-237
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• 2017

Depending on the type of textbook, the word and mathematical notation expression used in high school mathematics textbooks varied and there were also some differences on the mathematical definition and the content description methods. Not only the composition of textbooks but also various expressing ways of textbooks have significant impacts on teaching and learning of teacher and student. The diversity of expression had pros and cons like both sides of a coin. There is a positive aspect that we can pursue pedagogical diversity. Simultaneously there is a negative aspect that the possibility of acting as a learning burden exists in the viewpoint of the student and the equality of evaluation may be undermined. In this study, Preferentially we focused on analyzing the actual situation rather than judging what is more appropriate about the diversity of words and notation expressions used in mathematics textbooks which is based on the current curriculum. For this purpose, we analyzed 56 kinds of mathematics textbooks based on the 2009 revised mathematics curriculum, and presented four aspects(terms expressing, notations expression, mathematical definition, content description method) with examples about differences of the various expressions used in textbooks including 'terms and notations'.