• Journal of the Korean Society for Library and Information Science
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• v.51 no.4
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• pp.77-97
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• 2017

A recent sharp increase of the biomedical literature causes researchers to struggle to grasp the current research trends and conduct creative studies based on the previous results. In order to alleviate their difficulties in keeping up with the latest scholarly trends, numerous attempts have been made to develop specialized analytic services that can provide direct, intuitive and formalized scholarly information by using various text mining technologies such as information extraction and event detection. This paper introduces and evaluates total 8 Convolutional Neural Network (CNN) models for extracting biomedical events from academic abstracts by applying various feature utilization approaches. Also, this paper conducts performance comparison evaluation for the proposed models. As a result of the comparison, we confirmed that the Entity-Type-Fully-Connected model, one of the introduced models in the paper, showed the most promising performance (72.09% in F-score) in the event classification task while it achieved a relatively low but comparable result (21.81%) in the entire event extraction process due to the imbalance problem of the training collections and event identify model's low performance.

• Journal of Korean Medical classics
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• v.25 no.4
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• pp.123-147
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• 2012

Objective : By establishing the Five Viscera Source Point Acupuncture as the targeted acupuncture treatment for stadardization, as the first step, this study was conducted to sort the indications of each acupuncture remedies, which can be referred as one of the most important factors in acupuncture treatment, based on Yeoungchu. Method : This study selected only the contents related to indications of five viscera, by extracting the relevant sentences from Yeoungchu using the search words Liver(Liver Meridian, First Yin), Heart(Pericardium, Heart Meridian, Second Yin), Spleen(Spleen meridian, Third Yin), Lung(Lung Meridian, Third Yin), and Kidney(Kidney Meridian, Second Yin). Result & Conclusion : 1. We selected and extracted text related to liver disease from Chapter 16, heart (pericardium) disease from Chapter 16, spleen disease from Chapter 19, lung disease from Chapter 17, and finally kidney disease from Chapter 17 of Yeoungchu. 2. The basic theory of applying Five Viscera Source Point Acupuncture to five viscera diseases is first assorting the diseases according to its state (i.e. deficiency or excess), then draining the source point of the appropriate viscus in case of excess, or supplementing the source point of the appropriate viscus in case of deficiency. 3. For the correct application of Five Viscera Source Point Acupuncture, the classification of the disease, not only the judgement on its state, must be presented systematically and synthetically in combination with Four Examinations. Therefore the follow-up studies needs to be conducted.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.20 no.3
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• pp.138-146
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• 2007

Objective : To observe the trend in clinical study on atopic dermatitis(AD) over the last 3 years in order to develop a study methodology of AD in Oriental Medicine. Methods : Using the Pub med on line site; search terms: atopic dermatitis, field as title/abstract, limitation as published in the last 3 years, only items with links to full text, Humans, Clinical Trial, English. I observed the study contents of all this research and focused on the classification of treatments. I also observed of AD clinical trials registered on a clinical trial site(www.clinicaltrial.gov) on 23rd of June, 2007: study contents, localization and study designs. Results : Through the Pub Med site, I found 169 articles. Classified according to study subject, the studies related to treatment were 114(67.5%); physiology, pathology and prevention 12(7.1%); Diagnosis and Evaluation(7.1%); psychological aspects including quality of life 10(5.9%); diet and management 10(5.9%); epidemiology 7(4.1%); and others 7(4.1%). However, the treatment study of herb-medicine as intervention showed only 1 article. Futhermore, it wasn't based on Oriental Medicine philosophy. In the clinical trial site, there were 31 studies in which patients were recruited or planned for the future. The study on efficacy and safety of the medicine produced 14 trials, 5 comparative trials, 2 phototherapy, 2 diagnosis, 6 physiology and pathology, and 2 epidemiology. The trial institutions were concentrated in U.S.A. Conclusion : I suggest we'd better try to make a good clinical guideline and standardization of diagnosis and herb-medicine in order to develop a clinical study methodology of AD as soon as possible in the future. Even though it 's very hard to find the study methodology, we should aim to achieve positive results and show the evidence of the efficacy and safety of herb-medicine treatment for AD using Oriental Medicine.

• Journal of Physiology & Pathology in Korean Medicine
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• v.28 no.6
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• pp.577-584
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• 2014

The purpose of this study was to examine how the term Yin-Yang and Sasang categorized in the book "Huangdineijing". In order to investigate how the terms are used, we reviewed the text including the terms expressed in the manner of [(Yin/Yang) within (Yin/Yang)] and [Sasang]. We found three forms of expressions; [(Yin/Yang) within (Yin/Yang)], [Sasang], [(Sasang) within (Yin/Yang)]. Two paragraphs of [(Yin/Yang) within (Yin/Yang)] was found in one chapter, two paragraphs of [(Sasang)] was found in two chapters, and three paragraphs of [(Sasang) within (Yin/Yang)] was found in three chapters. We found five types of relation between [(Yin/Yang) within (Yin/Yang)], [Sasang], and five phases in "Huangdi neijing" as follows; (1) Yang within Yin, lesser Yang, and wood (2) Yang within Yang, greater Yang, and fire (3) ( ), ( ), and extreme Yin (4) Yin within Yang, lesser Yin, and metal, and (5) Yin within Yin, greater Yin, and water. And, as for the [(Yin/Yang) within (Yin/Yang)] and [(Sasang) within (Yin/Yang)], the classification criteria for Yin-Yang were brightness, abdomen/back or lumbar. The order of Sasang with the description form of [Sasang] or [(Sasang) within (Yin/Yang)] in "Siqi Tiaoshen Dalun" and "Liu Jie ZangXiang Theory" was lesser Yang, greater Yang, greater Yin, and lesser Yin, which is based on the meridian system or a plant-shaped change order. We discussed the results and its implication for the analysis of medical classics with the consideration of previous studies on Yin-Yang theories in "Huangdi neijing".

• Korean Journal of Social Welfare
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• v.58 no.2
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• pp.5-31
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• 2006

Since enforcement of the anti-prostitution law, in spite of systematic setting helping escape prostitution of the women who engage in prostitution that they have had the will lasting prostitution. Therefore, this study aimed to devise intervention plan helping their escape prostitution and return to social by examining individual and structural factor obstructing their escape prostitution The data were collected through the in-depth interview and text. And these were analysed according to coding, constitution of concept, matching, construction of explanation on the phenomenon. The nine women who engaging in prostitution were participated in this study. As a result of the data analysis, 46 concepts and 10 categories were generated. By classification of individual and structural factor, the outcomes of an interpretation were as follows: The cause obstructing Prostitutes' escape prostitution were (1) distrust on the policy of the government, (2) life-script was made by reaction-formation, (3) predestined resignation caused by anxiety, (4) body as capital goods, and (5) the commensal model with pimp. Based on this result, we proposed practical and political alternative plans for prostitutes.

• Journal of Sasang Constitutional Medicine
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• v.26 no.3
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• pp.262-271
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• 2014

Objectives This research was proposed to present Clinical Practice Guideline(CPG) for Soyangin Disease of Sasang Constitutional Medicine (SCM) ; Chest-Heat congested(Hyunggyeok-yeol) Symptomatology. Methods This CPG was developed by the national-wide experts committee consisting of SCM professors. First, collection and organization of literature related to SCM such as Donguisusebowon, Text book of SCM, Clinical Guidebook of SCM and Fundamental research to standardize diagnosis of Sasang Constitutional Medicine was performed. Secondly, journals related to clinical trial or Human complementary medicine of SCM were searched. Finally, 4 articles were selected and included in CPG for Chest-Heat congested(Hyunggyeok-yeol) Symptomatology of Stomach Heat-based Interior Heat disease in Soyangin disease. Results & Conclusions CPG of Chest-Heat congested(Hyunggyeok-yeol) symptomatology in Soyangin disease includes classification, definition and standard symptoms of each pattern. Chest-Heat congested(Hyunggyeok-yeol) symptomatology is classified into mild and moderate pattern by severity. Chest-Heat(Hyunggyeok-yeol) symptomatology Mild pattern is classified into Chest-Heat congested(Hyunggyeok-yeol) initial pattern and Chest-Heat congested(Hyunggyeok-yeol) advanced pattern. And Chest-Heat congested (Hyunggyeok-yeol) moderate pattern is classified into Clear Yang Failure of Stomach(Weguck-cheongyang Bulsagnseung) pattern (Upper wasting-thirst(Sangso) pattern), Clear Yang Failure of Large Intestine (Daejang-cheongyang Bulsangseung) pattern (Middle wasting-thirst (Jungso) pattern).

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.81-91
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• 2019

Recently, social network service (SNS) is actively used by public. Among them, Twitter has a lot of tweets including sentiment and it is convenient to collect data through open Aplication Programming Interface (API). In this paper, we analyze social issues and suggest the possibility of using them in marketing through sentimental information of users. In this paper, we collect twitter text about social issues and classify as positive or negative by sentiment classifier to provide qualitative analysis. We provide a quantitative analysis by analyzing the correlation between the number of like and retweet of each tweet. As a result of the qualitative analysis, we suggest solutions to attract the interest of the public or consumers. As a result of the quantitative analysis, we conclude that the positive tweet should be brief to attract the users' attention on the Twitter. As future work, we will continue to analyze various social issues.

• Knowledge Management Research
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• v.22 no.3
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• pp.91-106
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• 2021

With the recent rapid development of deep learning technology, the demand for analyzing huge text documents in the national R&D field from various perspectives is rapidly increasing. In particular, interest in the application of a BERT(Bidirectional Encoder Representations from Transformers) language model that has pre-trained a large corpus is growing. However, the terminology used frequently in highly specialized fields such as national R&D are often not sufficiently learned in basic BERT. This is pointed out as a limitation of understanding documents in specialized fields through BERT. Therefore, this study proposes a method to build an R&D KoBERT language model that transfers national R&D field knowledge to basic BERT using further pre-training. In addition, in order to evaluate the performance of the proposed model, we performed classification analysis on about 116,000 R&D reports in the health care and information and communication fields. Experimental results showed that our proposed model showed higher performance in terms of accuracy compared to the pure KoBERT model.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.43-50
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• 2022

For high-quality education of the modern generation of students, forms of organizing the educational process and the latest methods of obtaining knowledge that differ from traditional ones are necessary. The importance of multimedia teaching tools is shown, which are promising and highly effective tools that allow the teacher not only to present an array of information in a larger volume than traditional sources of information, but also to include text, graphs, diagrams, sound, animation, video, etc. in a visually integrated form. Approaches to the classification of multimedia learning tools are revealed. Special features, advantages of multimedia, expediency of use and their disadvantages are highlighted. A comprehensive analysis of the capabilities of multimedia teaching tools gave grounds for identifying the didactic functions that they perform. Several areas of multimedia application are described. Multimedia technologies make it possible to implement several basic methods of pedagogical activity, which are traditionally divided into active and passive principles of student interaction with the computer, which are revealed in the article. Important conditions for the implementation of multimedia technologies in the educational process are indicated. The feasibility of using multimedia in education is illustrated by examples. Of particular importance in education are game forms of learning, in the implementation of which educational elements based on media material play an important role. The influence of the game on the development of attention by means of works of media culture, which are very diverse in form and character, is shown. The importance of the role of multimedia in student education is indicated. In the educational process of multimedia students, a number of educational functions are implemented, which are presented in the article. Recommendations for using multimedia are given.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.193-198
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• 2023

We study a learner-customized lecture recommendation project using deep learning. Recommendation systems can be easily found on the web and apps, and examples using this feature include recommending feature videos by clicking users and advertising items in areas of interest to users on SNS. In this study, the sentence similarity Word2Vec was mainly used to filter twice, and the course was recommended through the Surprise library. With this system, it provides users with the desired classification of course data conveniently and conveniently. Surprise Library is a Python scikit-learn-based library that is conveniently used in recommendation systems. By analyzing the data, the system is implemented at a high speed, and deeper learning is used to implement more precise results through course steps. When a user enters a keyword of interest, similarity between the keyword and the course title is executed, and similarity with the extracted video data and voice text is executed, and the highest ranking video data is recommended through the Surprise Library.