• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.2
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• pp.277-285
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• 1997

The prupose of this study were to: (1) Analize the contents o( the cosmetics advertisements, (2) Compare the ideal woman images perceived by women with the women images profected through models used in the cosmetics advertisements, (3) Compare the ideal clothing images perceived by women with the clothing images profected through models used in the cosmetics advertisemtnts, and (4) Study and analise the purchase patterns of the women in theirtwenties. The subjects for this study were selected from students attending the Ewha Women's University. The study was done through video presentation, and questionnaire based on several previous studies, For the analysis of data, SPSS statistical packages were used. The results of emprical studies were summarized as follows: 1, As the result of the analysis of the current cosmetics advertisenents, the copies were mostly sentimental and short, the models mostly were casual dresses and their attitudes were active and natural for the most part. 2. The result of comparison between the images of women shows noticeable difference in that, the women tend to idealize independent intellectual and refined woman where as the models tend to be free, airy, outgoing and cute. 3. The ideal clothing images perceived by women tendto be intellectual, dignified, and neat, while the clothing worn by the models tend to be casual, cute, and sexy, thus showing noticeable discrepancy.

• Journal of Information Processing Systems
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• v.18 no.5
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• pp.614-627
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• 2022

Aspect-based sentiment analysis is to discover the sentiment polarity towards an aspect from user-generated natural language. So far, most of the methods only use the implicit position information of the aspect in the context, instead of directly utilizing the position relationship between the aspect and the sentiment terms. In fact, neighboring words of the aspect terms should be given more attention than other words in the context. This paper studies the influence of different position embedding methods on the sentimental polarities of given aspects, and proposes a position embedding interactive attention network based on a long short-term memory network. Firstly, it uses the position information of the context simultaneously in the input layer and the attention layer. Secondly, it mines the importance of different context words for the aspect with the interactive attention mechanism. Finally, it generates a valid representation of the aspect and the context for sentiment classification. The model which has been posed was evaluated on the datasets of the Semantic Evaluation 2014. Compared with other baseline models, the accuracy of our model increases by about 2% on the restaurant dataset and 1% on the laptop dataset.

• Korean Institute of Interior Design Journal
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• v.22 no.2
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• pp.89-99
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• 2013

The comtemporary architecture has not an discourse on form and representative style, but a new architectural concept of the generative process through the various relationship of the urban context, the continuity of the time and the experience of the people. This architectureal concepts make new and various architectural attempts to have a virtuality. The viruality is a reality to coexist with the present in contemporary philosophy. Daniel libeskind makes various arhcitectural experimentative attempts to reveal his virtuality through his memory as the Jews and his unconscious virtuality. The 'line' has the connotation of architectural reality and virtuality. Every line drawn becomes architectural form for example, walls, windows and makes spaces, and reveal a boundary as a connection. Architecture's visibility understates and structures its invisible aspect, so that the visible and the invisible make the architecture together. Daniel libeskind maks the virtual lines having the invisible of unconsious, time, and place. He no longer divide the form of architecture, its spatiality from all the implications which it adresses beyond its own particular built time and place and public unconsious mind. He demands the 'virtual line' that remembers distress and the past and reveal the virtuality of time and place. The virtual line is the sentimental communication of architecture.

• Journal of the Korean Society of Food Culture
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• v.19 no.5
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• pp.556-565
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• 2004

This study examined dietary culture in Korea regarding collectivism through literature review. Based on the evidence from the origin of lineage and traditional customs, the Koreans' traditional collectivity appeared to have been grounded upon the northen nomadic culture emphasizing sentimental collectivity and harmonized with the characteristics of southern agrarian society related to mutual support and sociability. The inseparable relationship between collectivity and food was well revealed in the occasions such as rice-planting, kimchi and jang makings in which pooled labor was common as well as the gathering of mutual aid association. In these occasions, foods were offered and shared among members. Food sharing was a main activity and almost play a central role regarding the promotion of friendly relations among each other. In sacrificial memorials, food sharing was extended not only to the live persons but also to the passing spirits. Collectivity was also disclosed in the eating or table manners of Koreans. Koreans quite literally share food at every meal since the side dishes placed centrally on the table. The taste of Korean foods is completed inside the mouth by mixing foods with various combination, which let people create their own choice of taste. Therefore, the collectivity manners at the table appeared to be harmonized with individual freedom of creating his/her own taste of foods. The collectivity is still a very important concept in modem Korean dietary culture, as reflected by an increase of restaurants sewed shared dishes.

• Fashion & Textile Research Journal
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• v.16 no.6
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• pp.995-1000
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• 2014

This study, using the free language association method, examined the characteristics of emotional words of respondents who were exposed to facial photos of women in 60s, and favorableness and favorable styles of them. To analyze mood characteristics on the faces, they were divided into positive mood words and negative mood words. Following previous researches, they were divided into introversion, extraversion, and ambiversion. It was found that the proportion of positive emotional words respondents used was 37%, and that of negative ones was 63%, demonstrating that respondents are more likely than not to get the negative impressions from the faces of their contemporaries. The characteristics of the words consists of 38% introversion, 47% extraversion, and 14% ambiversion. And, respondents used the words like 'beautiful' and 'good-looking' to the stimuli to which they felt favorable, and 'ill-tempered' and 'stubborn' to the stimuli to which they felt unfavorable. Third, the most favorable style to both male and female respondents in 60s were sentimental and good-mannered. They generally favor women who are soft and caring, and dislike talkative, snobbish, and thick make-up women. The analysis results in this paper may help image making and personal relations. Further study needs to expand the survey area to ensure more significant influence on the social life and interpersonal relationship of senior citizens.

• Fashion & Textile Research Journal
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• v.22 no.5
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• pp.639-649
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• 2020

This study investigates consumer opinions of clothing care and provides fundamental data to decision-making for oncoming development of clothing care system. Textom, a web-matrix program, was used to analyze big data collected from Naver and Daum with a keyword of "clothing care" from March 2019 to February 2020. A total of 22, 187 texts were shown from the big data collection. Collected big data were analyzed using text-mining, network, and CONCOR analysis. The results of this study were as follows. First, many keywords related to clothing care were shown from the result of frequency analysis such as style, Dryer, LG Electronics, Product, Customer, Clothing, and Styler. Consumers were well recognizing and having an interest in recent information related to the clothing care system. Second, various keywords such as product, function, brand, and performance, were linked to each other which were fundamentally related to the clothing care. The interest in products of the clothing care system were linked to product brands that were also naturally linked to consumer interest. Third, the keywords in the network showed similar attributes from the result of CONCOR analysis that were classified into 4 groups such as the characteristics of purchase, product, performance, and interest. Lastly, positive emotions including goodwill, interest, and joy on the clothing care system were strongly expressed from the result of the sentimental analysis.

• Hwankyungkyoyuk
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• v.25 no.2
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• pp.161-179
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• 2012

The aims of this study are to investigate the environmental perception of elementary school students through picture drawing and associated words about environment, and analyze whether there are differences in the environmental perception according to living places and grades. The drawing of 230 students are analysed and categorized into the criteria. The results are as follows: a number of students realized as images associated with natural environment for words related to environment. In the pictures of the 'positive environment', expression frequencies of natural environment and living things were higher than ones of artificial environment and non-living things. On the other hand, there were many pictures expressed as pollutions of waste, air and water in the pictures of the 'negative environment'. Comparison of environmental perception between rural and urban students showed a significant difference all in the two criteria. There was, however, no difference in the environmental perception between grades. Therefore, it is suggested that student's minds about the sentimental situation can be studied and they can be guided in positive directions to lead their future life in environment-friendly education rather than pollution education.

• Journal of the Semiconductor & Display Technology
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• v.21 no.2
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• pp.127-132
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• 2022

In the era of COVID-19 pandemic, COVID related keywords, news and SNS data are pouring out. With the help of the data and LDA topic modeling, we can check out what media reports about COVID-19 and vaccines. Also, we can be clear how the public reacts to the vaccine on social media and how this is related with the increasing number of COVID-19 patients. By using sentimental analysis methodology, we can get to know about the different kinds of reports that Korea media send out and get to know what kind of emotions that each media company uses in majority. Through this procedure, we can know the difference between the Korean media and the foreign ones. Ultimately, we can find and analyze the keyword that suddenly rose during the COVID-19 period throughout this research.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.8
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• pp.377-384
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• 2016

Our goal is to build the system which collects tweets from Twitter, analyzes the sentiment of each tweet, and helps users build a sentiment tagged corpus semi-automatically. After collecting tweets with the Twitter API, we analyzes the sentiments of them with a sentiment dictionary. With the proposed system, users can verify the results of the system and can insert new sentimental words or dependency relations where sentiment information exist. Sentiment information is tagged with the JSON structure which is useful for building or accessing the corpus. With a test set, the system shows about 76% on the accuracy in analysing the sentiments of sentences as positive, neutral, or negative.

• Journal of Families and Better Life
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• v.18 no.3 s.47
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• pp.85-98
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• 2000

The purpose of this research is to examine the university students' stress and relationship satisfaction with their mother. For this purpose , 420 students were selected in Seoul area, and data were analyzed by the statistical methods, such as the Cronbach'a coefficient, Frequency, Percentile, Arithmetic Mean, Standard Deviation, One-Way ANOVA, Peason's Corelation and stepwised Multiple Regression Analysis though SPSS win PC+. The main results are as followed: (1) University students experience stress some extent through all the areas such as communication, dating, choosing occupation, daily activity, or pocket money. But the level of stress shows lower tendency relatively. (2)Students with the lower self-differentiation perceive more stress from mother. When using avoidance coping and personnel dependence coping, the level of stress is high. (3)Several variables(problem-focused coping, self-differentiation of emotional independence, avoidance coping, communication stress, daily activity stress, and sentimental self-differentiation) significiently influence relationship satisfaction with their mother. These variables explain 52% of the satisfaction with mother.