• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.4090-4102
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• 2018

After emerging online communications, text mining and sentiment analysis has been frequently applied into analyzing electronic word-of-mouth. This study aims to develop a domain-specific lexicon of sentiment analysis to predict box office success in Korea film market and validate the feasibility of the lexicon. Natural language processing, a machine learning algorithm, and a lexicon-based sentiment classification method are employed. To create a movie domain sentiment lexicon, 233,631 reviews of 147 movies with popularity ratings is collected by a XML crawling package in R program. We accomplished 81.69% accuracy in sentiment classification by the Korean sentiment dictionary including 706 negative words and 617 positive words. The result showed a stronger positive relationship with box office success and consumers' sentiment as well as a significant positive effect in the linear regression for the predicting model. In addition, it reveals emotion in the user-generated content can be a more accurate clue to predict business success.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.175-178
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• 2009

본 연구는 감성공학적 접근법으로 터치 모바일 폰의 자유 드로잉 GUI 요소를 디자인 하기 위한 프로세스를 검증하는 것이 목적이다. 본 연구의 프로세스는 다음과 같이 진행되었다. 첫째, 터치폰에서 자유드로잉하는 행태를 파악하기 위하여 남 녀 대학생 57 명을 대상으로 터치폰 일기를 쓰게 하여 분석하였다. 또한 관찰 대상자가 선호하는 패션, 좋아하는 이미지를 수집하여, IRI 표준 이미지 스케일 맵에 매핑하여 감성 요소를 추출하였다. 둘째, 추출된 감성 요소는 Norman(2002)에 의거한 감각적(Visceral), 행태적(Behavioral), 심볼적(Reflective) 감성 어휘로 도출하고, 요인 분석을 통해 대표 감성 어휘를 도출하였다. 셋째, 자유 드로잉을 위한 터치 모바일폰 GUI 요소를 도출한 후 대표 감성 어휘와의 관계성을 분석하여 관계성이 높은 디자인 요소를 추출하였다. 마지막으로 추출된 대표 디자인 요소와 대표 감성 어휘는 다차원척도(Multidimensional scaling : MDS) 분석을 실시하여 2 차원 축에 모델링하고, 정량적으로 디자인에 반영될 주요 감성을 도출해본 결과 사용자의 감성적 경험을 통해 도출된 GUI 와 유사성이 높은 감성 어휘는 감성적 디자인을 할 때 주 요소로 적용 된다는 사실을 확인하였다.

• Science of Emotion and Sensibility
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• v.15 no.2
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• pp.269-282
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• 2012

Laboratory equipment will continue to be developed and created as long as experiments continue. Up until now, the designs have been focused on the functional role; successfully process the study purpose. However, nowadays, the requirements of providing emotional satisfaction of the design, has increased. Even so, the users are normally limited by specific groups and investments on these designs have been neglected due to small annual production by the small market. Through this study, we have conducted an emotional evaluation on Temperature and Humidity Chamber's (TH Chamber) exterior shape. First of all, we extracted emotional words and placed them in categories that represent these emotions and conducted an emotional evaluation on four typical TH chamber models. They were selected based on its door lock type and control box type. The result showed that the 'fixed type' of control box and the 'handle type' of door lock were most favorable by the users, satisfying the five representative emotions; 'Attractiveness', 'Classiness', 'Comfortableness', 'Pleasant' and 'Satisfaction in Usability'. Particularly, all 4 emotional words in the 'Satisfaction in Usability' category recorded over 3.65. This indicates that Satisfaction in Usability is relatively an important category when expressing laboratory equipment. The result of this research is expected to be used as a basic data to find a way of right approach in laboratory equipment design.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.46-49
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• 2008

This study aims to suggest basic materials to develop an emotional font for future Hangeul font development plan by investigating emotional reaction displayed through the subjects and by quantifying its contribution of the stimulation elements causing such reaction. For this, a survey of 150 university students who are currently enrolled in the College of Design was conducted in order to analyze correlation between 30 emotional words extracted from the Hangeul font and the selected 36 sample fonts. The combined data was described with the two dimensional dispersion using the quantification theory type III. The analysis found out that the Hangeul font forms the x-axis showing "soft(dynamic).hard(static)" and the y-axis showing "modern(light).classic(heavy)”. Specifically, there exist emotional groups such as "archaic","masculine","feminine","negative", and "modern static"on each axis. In addition, to extract the casual relationship between the value of emotional reaction and its stimulation elements quantitatively, the author indicated the emotional words of each axis and the total value of equivalent five emotional word groups as the standard variance and the constituent of Hangeul font as the independent variable, and then the quantification theory type I was used to analyze the physical elements of the Hangeul font. As a result, "the centerline of gravity(base line)" and "thickness variance of a stroke" on the two axes, and "the centerline of gravity(base line)" and "decoration" among the five groups were identified as the most influential elements that affect the emotional reaction of the subjects.

• Journal of the Ergonomics Society of Korea
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• v.26 no.3
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• pp.17-25
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• 2007

'Emotional value' has been a buzz word for design and ergonomics in the era of business innovation. However, the complication of 'emotion' in terms of literal and practical meaning has made it a challenging but confusing task for designers to develop a new product with emotional value. 'Sensibility' and 'emotion' are interchangeable terms to describe human feeling ('gamsung' in Korean). The confusion reached at its peak with Korean terms. Even scholars in Korean language, psychologists, ergonomists, and designers are bewildered at the choice of proper expression for human feeling in both Korean and English. The difficulty could explain the problems in 'sensibility ergonomics' in Korea. The purpose of this paper is to provide both fundamental and satisfying information with people in the area of 'sensibility ergonomics'. Therefore, in this paper, a number of articles and books on sensibility, psychology, sensibility ergonomics, and design were reviewed to clarify the meaning of sensibility and relationship among similar words that have been used with unintentional misunderstanding. Also many adjectives on human sensibility were collected and complied for the use of sensibility evaluation.

• Speech Sciences
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• v.7 no.3
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• pp.229-247
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• 2000

The purpose of this study is to examine the improvement effect of articulation of the fricative consonant /s/(ㅅ), when applying the Articulation Modification Program (AMP) to hearing disordered students. Three hearing disordered students were selected for this study by the consonant picture and Korean Articulation Sentence tests. They have no defect in their emotion, behavior and sight. This program applied the multiple baseline design across subjects to examine the improvement effect of articulation of fricative consonant /s/(ㅅ). Also I designed th$\sim$s program with an advanced pre-test and post-test in order to research the improvement difference of articulation by articulation position and language unit. It was executed 32 sessions over three months, four sessions a week, one session taking forty minutes. The results according to the study subject are as follow; First, as result of AMP, articulation of all students was developed after applying this program. Second, as result of AMP, articulation in fore-word was one-hundred percent efficiency and articulation in middle-word was 97.7% efficiency by position. Third, as result of AMP, articulation in the word reached 98.7% efficiency, in phrase 97.7% efficiency, in the sentence 97.7% efficiency and in the story was 98.3% efficiency by language unit.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.2
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• pp.47-72
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• 2021

This research aims to examine the cause-and-effect relationship between the user's purchase intention and word-of-mouth for Instagram advertisements. In addition, Instagram currently has many users in the order of Kakao Talk, Facebook, and Instagram. However, most of the previous prior papers are research on the current status of Instagram. Recent research on Instagram advertising has been lacking. This research is academically significant in that it conducted with the focus on advertising on Instagram. In addition, we provide a framework based on future research in that we proposed a model between human psychology and the oral effect on how much Instagram affects purchasing through the theory of emotional response (PAD). Future studies need to demonstrate the relationship between emotion response (PAD) factors that directly affect purchase intent. Finally, it will need to be studied to analyze purchasing patterns using data mining techniques between different social network services.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.773-777
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• 2009

In recent years, the field of synthesizing voice has been developed rapidly, and the technologies such as reading aloud an email or sound guidance of a car navigation system are used in various scenes of our life. The sound quality is monotonous like reading news. It is preferable for a text such as a novel to be read by the voice that expresses emotions wealthily. Therefore, we have been trying to develop a system reading aloud novels automatically that are expressed clear emotions comparatively such as juvenile literature. At first it is necessary to identify emotions expressed in a sentence in texts in order to make a computer read texts with an emotionally expressive voice. A method on the basis of the meaning interpretation that utilized artificial intelligence technology for a method to specify emotions of texts is thought, but it is very difficult with the current technology. Therefore, we propose a method to determine only emotion every sentence in a novel by a simpler way. This method determines the emotion of a sentence according to an emotion that words such as a verb in a Japanese verb sentence, and an adjective and an adverb in a adjective sentence, have. The emotional characteristics that these words have are prepared beforehand as a emotional words dictionary by us. The emotions used here are seven types: "joy," "sorrow," "anger," "surprise," "terror," "aversion" or "neutral."

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.4
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• pp.11-19
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• 2023

The paper proposes a smart mirror system that recommends fragrances based on user emotion analysis. This paper combines natural language processing techniques such as embedding techniques (CounterVectorizer and TF-IDF) and machine learning classification models (DecisionTree, SVM, RandomForest, SGD Classifier) to build a model and compares the results. After the comparison, the paper constructs a personal emotion-based fragrance recommendation mirror model based on the SVM and word embedding pipeline-based emotion classifier model with the highest performance. The proposed system implements a personalized fragrance recommendation mirror based on emotion analysis, providing web services using the Flask web framework. This paper uses the Google Speech Cloud API to recognize users' voices and use speech-to-text (STT) to convert voice-transcribed text data. The proposed system provides users with information about weather, humidity, location, quotes, time, and schedule management.

• Journal of The Korean Association For Science Education
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• v.24 no.6
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• pp.1106-1117
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• 2004

The purposes of this study were to analyze types of scientific emotion word and to investigate the relationship between the ISE(Index of Scientific Emotion) and the ability of science-knowledge generation in subjects' scientific observation and rule-discovery. The subjects were asked to perform four scientific tasks. The tasks were developed that are suitable for scientific observation and rule-discovery. In performing tasks, the subjects were asked to describe their generated science-knowledge and scientific emotion through self-report questionnaire, performing each task. The strength of their scientific emotion was also measured using adjective emoticon check lists. In subjects' scientific observing, they showed 33.3% of interest emotion which was the biggest, 15.0% of acceptance emotion, and 11.3% of love emotion, respectively. In scientific rule-discovering, types of emotion were shown as 23.8% of interest, 21.5% of disgust, and 10.8% of acceptance, respectively. In addition, ability of science-knowledge generation was significantly correlated to ISE.