• Culinary science and hospitality research
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• v.15 no.2
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• pp.93-107
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• 2009

The aims of this study concerning tourists travelling in the island of Jeju include: to identify and assess the promotional efforts for traditional Jeju cuisine; and to identify the impacts of those efforts on customers and tourists. The analyses revealed that continuous promotion efforts, along with changes in the cooking methods and the development of new menus, are needed for the items of traditional Jeju cuisine that are relatively unknown to tourists and that fail to satisfy customers. Customers seeking Jeju food reported high satisfaction with such items as grilled meat and fish, steamed meat and fish, and raw fish(hoe), so those cooking methods must also be continually improved. Promotional efforts had impacts on the satisfaction and revisit rates of customers while the recognizability of foods offered had impacts on all areas, including the satisfaction and revisit rates of customers as well as word-of-mouth advertising among them. There needs to be an experience-oriented or educational program that introduces customers to traditional Jeju cuisine. Since customers and tourists gain information on traditional Jeju cuisine from the recommendations and word-of-mouth advertising from the locals they meet on the island, traditional Jeju cuisine should also be advertised to the local residents. The commercial merchandising of Jeju culinary culture and making festivals based on it must, therefore, be preceded by studies on how to increase the locals' awareness of local traditional cuisine.

• Journal of Nutrition and Health
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• v.30 no.10
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• pp.1244-1257
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• 1997

The goals of the School Lunch Program(SLP) are to provide school children with approximately one -third of their daily nutrition requirements at a reasonable price, to foster good food habits, and to contribute to a better understanding of nutrition. In order to provide guidelines and appropriate nutritional information for SLP planning, and to identify inexpensive sources of each nutrient, representative SLP menus were analyzed for nutrient density using the Index of Nutritional Quality(INQ) and for nutrient cost. Recipes and prices of 776 meals were collected from 10 SLP primary schools in Seoul and Kyunggi province in Korea during 1995. From 4829 menu items in 776 meals, the 100 most frequently used menus were selected as representative SLP menus. From these 100 menus, eleven categories of menu were identified according to cooking methods and ingredients. Selected menus were placed into these 11 groups, with 3 to 5 menus in each except the milk group which contained only milk. The mean nutrient content, INQs, and nutrient-cost ratios were calculated for each menu and menu group. Among the 100 representative SLP menus, 'Jiajang-rice' contained the highest energy per serving portion. 'Grilled pollack ' was the highest in protein, 'Seasoned spinach ' in vitamin A, 'Spagehetti' in vitamin B1 , niacin and iron, 'Kongjorim'(hard-boiled bean with sauce) in vitamin B2 , strawberry in vitamin C, and 'fish stew ' and milk in calcium. Among the 11 menu groups, the 'One-dish' group was found to be the highest in energy , protein, vitamin A, B$_1$ and iron. The milk group was a good source of vitamin B$_2$ and calcium . The meat side dish group (panbroiled, fried or steamed )was the most suitable for providing niacin. The fruit group provided the highest level of vitamin c per portion. The nutrient densities(INQs) were found in the soup group (protein), Kimchi group(vitamin A), fruit group(vitamin B$_1$ and C), milk group(vitamin B$_2$ and calcium), stew group(niacin )and vegetable side dish group(energy, protein, vitamin B$_1$ and niacin) , vegetable side dish group(vitamin A), milk group(vitamin B$_2$ and calcium) , fruit and Kimchi groups(vitamin C), and stew group(iron). This information should be useful for school dietitians in planning most nutritious SLP menus with limited budgets. It could also be used for basic guidelines in nutrition education, and for future improvement of the SLP in Korea.

• Journal of the Korean Society of Food Science and Nutrition
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• v.32 no.3
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• pp.325-337
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• 2003

This study was designed to determine the distribution of trans fatty acids (tFAs) isomers of Processed foods commonly consumed in Korea. The tFAs positional isomers were analyzed using GC/MS spectrometer with HP-23 cis/trans FAME, capillary column (50m $\times$ 0.20 mm, id., 0.2 ${\mu}{\textrm}{m}$ film thickness) for 41 food samples. TFAs isomers were identified by comparing retention time with standards and GC/MS spectrum. In margarines, the content of tFAs ranged from 4.0% to 25.16% and the most abundant positional isomer of tFAs was C18:1 $\Delta$9t. In oils and fats, lards contained higher levels of tFAs (5.70~16.54%) than shortenings (6.77~10.55%). Shortenings contained higher levels of C18:1 $\Delta$9t (3.1~5.1%) than lard (1.6~4.3%), but corn oils had no tFAs. In seasonings, mayonnaise had no C16:1 $\Delta$9t, whereas C18:3t was detected. The content of tFAs in confectioneries was wide (16.20~52.16%). Among them, instant popcorns contained the highest amount of tFAs. Milk and dairy products showed even distribution of tFAS such as C18:1t, C18:2t, and C18:3t. Predominant tFAS isomer of condensed milk and ice cream was C16:1 $\Delta$9t. Frozen french fries and fried chicken contained higher levels of C18:1$\Delta$9t (9.4%), whereas grilled pork (jowl) had no C18:1 $\Delta$9t. The amount of tFAs per serving size was the highest in popcorn, followed by frozen pizza, frozen french fries, fried chicken, and bakeries.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.1-25
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• 2020

Sentiment Analysis (SA) is a Natural Language Processing (NLP) task that analyzes the sentiments consumers or the public feel about an arbitrary object from written texts. Furthermore, Aspect-Based Sentiment Analysis (ABSA) is a fine-grained analysis of the sentiments towards each aspect of an object. Since having a more practical value in terms of business, ABSA is drawing attention from both academic and industrial organizations. When there is a review that says "The restaurant is expensive but the food is really fantastic", for example, the general SA evaluates the overall sentiment towards the 'restaurant' as 'positive', while ABSA identifies the restaurant's aspect 'price' as 'negative' and 'food' aspect as 'positive'. Thus, ABSA enables a more specific and effective marketing strategy. In order to perform ABSA, it is necessary to identify what are the aspect terms or aspect categories included in the text, and judge the sentiments towards them. Accordingly, there exist four main areas in ABSA; aspect term extraction, aspect category detection, Aspect Term Sentiment Classification (ATSC), and Aspect Category Sentiment Classification (ACSC). It is usually conducted by extracting aspect terms and then performing ATSC to analyze sentiments for the given aspect terms, or by extracting aspect categories and then performing ACSC to analyze sentiments for the given aspect category. Here, an aspect category is expressed in one or more aspect terms, or indirectly inferred by other words. In the preceding example sentence, 'price' and 'food' are both aspect categories, and the aspect category 'food' is expressed by the aspect term 'food' included in the review. If the review sentence includes 'pasta', 'steak', or 'grilled chicken special', these can all be aspect terms for the aspect category 'food'. As such, an aspect category referred to by one or more specific aspect terms is called an explicit aspect. On the other hand, the aspect category like 'price', which does not have any specific aspect terms but can be indirectly guessed with an emotional word 'expensive,' is called an implicit aspect. So far, the 'aspect category' has been used to avoid confusion about 'aspect term'. From now on, we will consider 'aspect category' and 'aspect' as the same concept and use the word 'aspect' more for convenience. And one thing to note is that ATSC analyzes the sentiment towards given aspect terms, so it deals only with explicit aspects, and ACSC treats not only explicit aspects but also implicit aspects. This study seeks to find answers to the following issues ignored in the previous studies when applying the BERT pre-trained language model to ACSC and derives superior ACSC models. First, is it more effective to reflect the output vector of tokens for aspect categories than to use only the final output vector of [CLS] token as a classification vector? Second, is there any performance difference between QA (Question Answering) and NLI (Natural Language Inference) types in the sentence-pair configuration of input data? Third, is there any performance difference according to the order of sentence including aspect category in the QA or NLI type sentence-pair configuration of input data? To achieve these research objectives, we implemented 12 ACSC models and conducted experiments on 4 English benchmark datasets. As a result, ACSC models that provide performance beyond the existing studies without expanding the training dataset were derived. In addition, it was found that it is more effective to reflect the output vector of the aspect category token than to use only the output vector for the [CLS] token as a classification vector. It was also found that QA type input generally provides better performance than NLI, and the order of the sentence with the aspect category in QA type is irrelevant with performance. There may be some differences depending on the characteristics of the dataset, but when using NLI type sentence-pair input, placing the sentence containing the aspect category second seems to provide better performance. The new methodology for designing the ACSC model used in this study could be similarly applied to other studies such as ATSC.

• Korean journal of food and cookery science
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• v.18 no.1
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• pp.1-7
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• 2002

A study on the seafood consumption was conducted from 1902 adolescent students (1110 boys and 792 girls) attending middle or high school to assess the attitude and degree of satisfaction for seafood being served in the school lunch program and ultimately to promote greater seafood consumption. A self-administered questionnaire was used to record the results. The results were as follows: Sixty percent of the respondents appeared to like or not to be reluctant to seafood. The main reasons for favoring seafood were its nutritious effect and taste. On the other hand, the reason for disliking seafood was due to its peculiar smell. In terms of cooking methods, the subjects preferred raw, fried, and grilled seafdod, whereas they disliked salt-fermented, seasoned and stewed dishes. The highly preferred seafood were crab, shrimp, tuna and squid. Only 6.6% of middle school students (MS) and 3.7% of high school students (HS) liked the seafood served in school lunch program, whereas the others responded 'so so'or disliked it. The reasons for disliking seafood being served in school lunch program were poor taste (14.7% of MS, 23.5% of HS), lack of freshness(6.3% of MS, 13.9% of HS) and unattractable cooking methods(3.4% of MS, 11.1% of HS). To promote seafood consumption in school lunch program, subjects anticipated the taste improvement (37.7% of MS, 48.5% of HS), use of a variety of seafood (19.8% of MS, 24.0% of HS) and cooking methods(12.6% of MS, 22.4% of HS). Above results suggested that further efforts are needed to provide preferred cooking methods and seafood items as a way of increasing seafood acceptability.