• Science of Emotion and Sensibility
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• v.13 no.3
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• pp.449-458
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• 2010

As occasion demands to obtain efficient information from many documents and reviews on the Internet in many kinds of fields, automatic classification of opinion or thought is required. These automatic classification is called sentiment classification, which can be divided into three steps, such as subjective expression classification to extract subjective sentences from documents, sentiment classification to classify whether the polarity of documents is positive or negative, and strength classification to classify whether the documents have weak polarity or strong polarity. The latest studies in Opinion Mining have used N-gram words, lexical phrase pattern, and syntactic phrase pattern, etc. They have not used single word as feature for classification. Especially, patterns have been used frequently as feature because they are more flexible than N-gram words and are also more deterministic than single word. Theses studies are mainly concerned with English, other studies using patterns for Korean are still at an early stage. Although Korean has a slight difference in the meaning between predicates by the change of endings, which is 'Eomi' in Korean, of declinable words, the earlier studies about Korean opinion classification removed endings from predicates only to extract stems. Finally, this study introduces the earlier studies and methods using pattern for English, uses extracted sentimental patterns from Korean documents, and classifies polarities of these documents. In this paper, it also analyses the influence of the change of endings on performances of opinion classification.

• Science of Emotion and Sensibility
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• v.13 no.4
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• pp.677-686
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• 2010

This study intends to provide the data to extract the elements that influence users' preference from "setting-up," a Traditional craft skills, and apply it to design and use it, so as succeed to the traditional values by connecting the Traditional craft skills with design and to establish a design-supporting system that can meet contemporary users' desire. In this light, this study, as a basic research, selects a sense of beauty and functional quality as a standard for applying setting-up to design and conducts an experiment to extract the elements of design that are important in setting-up. An analysis of factors based on the experiment reveals that in terms of a sense of beauty and functional quality, typical quality, creativity, historicalness, productivity, safeness are derived as elements that influence setting-up. And an analysis of meaningfulness tells that each element of Panjac Setting-up and Yeongui Setting-up is the most meaningful. This result shows that it is important to know the relationship with elements extracted as emotional elements, which can be useful as an index for establishing a design-supporting system that can serve as a guideline in designing through applying to design.

• Science of Emotion and Sensibility
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• v.10 no.2
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• pp.243-252
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• 2007

Anti-depressant and anti-anxiety effects of Saccharomyces cerevisiae extract and its hydrolyzed fraction. The purpose of the present study was to examine the effect of Saccharomyces cerevisiae extract (SCE) and its hydrolyzed fraction (SCE-40) on depression and anxiety-related behaviors in mice. Actions of SCE and SCE-40 on serotonin, norepinephrine and GABAergic systems in the rat cerebral cortex membranes were also examined. SCE and SCE-40 significantly reduced the immobility time in the forced swimming and tail suspension test in mice. Duration time of the open arms in the elevated plus maze test was significantly increased in the SCE and SCE-40-treated groups, compared with the saline-treated control group. SCE and its fraction SCE-40 significantly inhibited serotonin and norepinephrine transporter and GABA receptor binding, compared to the saline-treated group. In addition, serotonin and norepinephrine reuptake were significantly suppressed by SCE and SCE-40. These results demonstrate that SCE and SCE-40 produce anti-depressant and anti-anxiety effects through enhancing central serotonin, norepinephrine and GABAergic transmissions. These results suggest that SCE and SCE-40 as functional food might prove to be an effective antidepressant and anti-anxiety agent.

• Journal of Sasang Constitutional Medicine
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• v.22 no.1
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• pp.41-48
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• 2010

1. Objective There has been a few trials to diagnose Sasang Constitution by using EEG, but has not been studied intensively. For the purpose of practical diagnosis, the characteristics of EEG for each constitution should be studied first. Recently it has been shown that Sasang Constitution might be related to harm avoidance and novelty seeking in temperament and character profiles. Based on this finding, we propose a visual stimulation method to evoke a EEG response which may discriminate difference between constitutional groups. Through the experiment with this method, we tried to reveal the characteristics of EEG of each constitutional groups by the method of event-related potentials. 2. Methods: We used facial visual stimulation to verify the characteristics of EEG for each constitutional groups. To reveal characteristic in sensitivity and latency of response, we added several levels of noise to facial images. 6 male subjects(2 Taeeumin, 2 Soyangin, 2 Soeumin) participated in this study. All subjects are healthy 20's. To remove artifacts and slow modulation, we removed EOG contaminated data and renormalization is applied. To extract stimulation related components, normalized event-related potential method was used. 3. Results: From Oz channels, it is verified that facial image processing components are extracted. For lower level noise, components related to the visual stimulation were clearly shown in Oz, Pz, and Cz channels. Pz and Cz channels show differences among 3 constitutional groups in maximum around 200 msec. Especially moderate level of noise looks appropriate for diagnosis. 4. Conclusion: We verified that the visual stimulation with facial emotion might be a good candidate to evoke the differences between constitutional groups in EEG response. The differences shown in the experiment may imply that the process of emotion has distinct tendencies in latencies and sensitivity for each consitutional group. And this distinction might be related to the temperament profile of consitutional groups.

• Journal of the Korea Society of Computer and Information
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• v.16 no.10
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• pp.93-100
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• 2011

The necessity of research on extracting information of face and facial components in animation characters have been increasing since they can effectively express the emotion and personality of characters. In this paper, we introduce a method to extract face and facial components of animation characters by defining a mesh model adequate for characters and by using dominant colors. The suggested algorithm first generates a mesh model for animation characters, and extracts dominant colors for face and facial components by adapting the mesh model to the face of a model character. Then, using the dominant colors, we extract candidate areas of the face and facial components from input images and verify if the extracted areas are real face or facial components by means of color similarity measure. The experimental results show that our method can reliably detect face and facial components of animation characters.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.1
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• pp.32-41
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• 2023

Recently, many studies are being conducted to extract emotion from text and verify its information power in the field of finance, along with the recent development of big data analysis technology. A number of prior studies use pre-defined sentiment dictionaries or machine learning methods to extract sentiment from the financial documents. However, both methods have the disadvantage of being labor-intensive and subjective because it requires a manual sentiment learning process. In this study, we developed a financial sentiment dictionary that automatically extracts sentiment from the body text of analyst reports by using modified Bayes rule and verified the performance of the model through a binary classification model which predicts actual stock price movements. As a result of the prediction, it was found that the proposed financial dictionary from this research has about 4% better predictive power for actual stock price movements than the representative Loughran and McDonald's (2011) financial dictionary. The sentiment extraction method proposed in this study enables efficient and objective judgment because it automatically learns the sentiment of words using both the change in target price and the cumulative abnormal returns. In addition, the dictionary can be easily updated by re-calculating conditional probabilities. The results of this study are expected to be readily expandable and applicable not only to analyst reports, but also to financial field texts such as performance reports, IR reports, press articles, and social media.

• Journal of The Korean Association For Science Education
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• v.33 no.7
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• pp.1367-1384
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• 2013

The purpose of this study was to develop a Science Academic Emotion Scale for Elementary Students. To make a scale, authors extract a core of 14 emotions related to science learning situations from Kim & Kim (2013) and literature review. Items on the scale consisted of 14 emotions and science learning situations. The first preliminary scale had 174 items on it. The number of 174 items was reduced and elaborated on by three science educators. Authors verified the scale using exploratory factor analysis, confirmatory factor analysis, inter-item consistency and concurrent validity. The second preliminary scale consisted of 141 items. The preliminary scale was reduced to seven factors and 56 items by applying exploratory factor analysis twice. The seven factors include: enjoyment contentment interest, boredom, shame, discontent, anger, anxiety, and laziness. The 56 items were elaborated on by five science educators. The scale with 56 items was fixed with seven factors and 35 items to get the final scale by applying confirmatory factor analysis twice. Except for Chi-square and GFI (Goodness of Fit Index), other various goodness of fit characteristics of the seven factors and 35 items model showed good estimated figures. The Cronbach of the scale was 0.85. The Cronbach of seven factors are 0.95 in enjoyment contentment interest, 0.81 in boredom, 0.87 in shame, 0.82 in discontent, 0.87 in anger, 0.77 in anxiety, 0.81 in laziness. The correlation coefficient was 0.59 in enjoyment contentment interest, 0.54 in anxiety, 0.42 in shame, and 0.28 in boredom, which were estimated using the Science Academic Emotion Scale and National Assessment System of Science-Related Affective Domain (Kim et al., 1998). Based on the results, authors judged that the Science Academic Emotion Scale for Elementary Students achieved an acceptable validity and reliability.

• Journal of Oriental Neuropsychiatry
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• v.25 no.1
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• pp.85-108
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• 2014

Objectives: Chiljeong means the basic emotions containing joy, anger, anxiety, depression, fear and fright in Korean traditional medicine. Chiljeong was considered as a cause diseases or syndrome. The pathology of Chiljeong described the action of the gi and the principle of eumyangohaeng. When we treat the psychiatric symptoms in Korean traditional medicine, we need to understand the pathologic mechanism of Chiljeong. Methods: We extract the sentences regarding Chiljeong, Oji, Chilgi and Gugi along with the related words in Donguibogam. We analyze the selected sentences and classify the pathologic mechanism according to the general and seven emotions. Results: We found that several parts were related to Chiljeong, except the Sinmun, including the psychiatric symptoms in Donguibogam. Conclusions: The most frequently mentioned affected areas of basic Jangbu are Sim and Gan. The pathologic mechanism of general emotion was categorized by sentences into 4 groups, Giul, Dameum, Hwa and Heo.

• Korean Journal of Pharmacognosy
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• v.44 no.2
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• pp.97-103
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• 2013

Schizophrenia is a severe psychiatric disorder and characterized by positive symptom (i.e., delusions, hallucinations), negative symptom (i.e., lack of emotion, social withdrawal), and cognitive impairment. Previously, we reported that the ethanolic extract of Prunella vulgaris var. lilacina attenuated the MK-801-induced schizophrenia-like behaviors such as prepulse inhibition (PPI) deficits and cognitive impairment in mice. The aim of the present study was to investigate whether danshensu isolated from P. vulgaris var. lilacina attenuates MK-801-induced sensorimotor gating dysfunction (PPI deficits), hyperlocomotion, and memory impairment in mice. Acute administration of danshensu (1, 3, or 10 mg/kg) significantly ameliorated the MK-801-induced PPI deficits in the acoustic startle response test. We also observed that the impaired recognition memory induced by MK-801 was attenuated by danshensu (1 mg/kg) in the novel object recognition test. However, danshensu failed to reverse the MK-801-induced hyperlocomotion in the open-field test. Collectively, the present results indicate danshensu would be an active agent for treating neuropsychiatric disorders such as schizophrenia.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.2
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• pp.57-63
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• 2015

Compared to other emotion recognition technology, facial expression recognition technology has the merit of non-contact, non-enforceable and convenience. In order to apply to a psychological robot, vision technology must be able to quickly and accurately extract the face region in the previous step of facial expression recognition. In this paper, we remove the background from any image using the YCbCr skin color technology, and use Haar-like Feature technology for robust face detection. We got the result of improved processing speed and robust face detection by removing the background from the input image.