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동적 토픽 모델링과 감성 분석을 활용한 전동킥보드에 대한 사회적 동향 분석
김경옥 ( Kyoungok Kim ),신예랑 ( Yerang Shin ) 한국정보처리학회 2023 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.12 No.1
An electric scooter(e-scooter), one popularized micro-mobility vehicle has shown rapidly increasing use in many cities. In South Korea, the use of e-scooters has greatly increased, as some companies have launched e-scooter sharing services in a few large cities, starting with Seoul in 2018. However, the use of e-scooters is still controversial because of issues such as parking and safety. Since the perception toward the means of transportation affects the mode choice, it is necessary to track the trends for electric scooters to make the use of e-scooters more active. Hence, this study aimed to analyze the trends related to e-scooters. For this purpose, we analyzed news articles related to e-scooters published from 2014 to 2020 using dynamic topic modeling to extract issues and sentiment analysis to investigate how the degree of positive and negative opinions in news articles had changed. As a result of topic modeling, it was possible to extract three different topics related to micro-mobility technologies, shared e-scooter services, and regulations for micro-mobility, and the proportion of the topic for regulations for micro-mobility increased as shared e-scooter services increased in recent years. In addition, the top positive words included quick, enjoyable, and easy, whereas the top negative words included threat, complaint, and ilegal, which implies that people satisfied with the convenience of e-scooter or e-scooter sharing services, but safety and parking issues should be addressed for micro-mobility services to become more active. In conclusion, this study was able to understand how issues and social trends related to e-scooters have changed, and to determine the issues that need to be addressed. Moreover, it is expected that the research framework using dynamic topic modeling and sentiment analysis will be helpful in determining social trends on various areas.
액란과 생란의 난황으로 제조한 블루베리 쿠키의 품질특성과 항산화능 비교
김경옥(Kyoungok Kim),유아남(Yanan Liu),윤이나(Leena Yoon),박현진(Hyunjin Park) 한국식품영양과학회 2014 한국식품영양과학회지 Vol.43 No.7
We evaluated the quality characteristics and antioxidative activities of cookies containing different types of egg yolk (LEY, Liquid Egg Yolk; FEY, Fresh Egg Yolk) and percentages of blueberry powder (5, 10, and 15%). As the amount of blueberry powder increased, the levels of antioxidants based on ABTS and DPPH radical scavenging activities increased in general. Within the 15% group, contents of polyphenols and flavonoids were higher in the FEY group, whereas content of anthocyanins was higher in the LEY group. Measurement of ABTS radical scavenging activity showed that the FEY group had a higher value within the 10% group, whereas the LEY group scored higher within the 15% group. Comparison of sensory properties showed no significant difference between the two egg yolk types. If commercialized, manufacturing cookies with FEY or LEY will not make a significant difference. Regardless, 15% blueberry powder would be the most appropriate, as it scored the highest in terms of antioxidant activity and sensory characteristics.
분류 복잡도를 활용한 오버 샘플링 비율 산출 알고리즘 개발
이도현 ( Do-hyeon Lee ),김경옥 ( Kyoungok Kim ) 한국정보처리학회 2020 한국정보처리학회 학술대회논문집 Vol.27 No.1
불균형 데이터는 범주에 따른 데이터의 분포가 불균형한 데이터를 의미한다. 이런 데이터를 활용해 기존 분류 알고리즘으로 분류기를 학습하면 성능이 저하되는 문제가 발생한다. 오버 샘플링은 이를 해결하기 위한 기법 중 하나로 수가 적은 범주[이하 소수 범주]에 속한 데이터 수를 임의로 증가시킨다. 기존 연구들에서는 수가 많은 범주[이하 다수 범주]에 속한 데이터 수와 동일한 크기만큼 증가시키는 경우가 많다. 이는 증가시키는 샘플의 수를 결정할 때 범주 간 데이터 수 비율만 고려한 것이다. 그런데 데이터가 동일한 수준의 불균형 정도를 갖더라도 범주별 데이터 분포에 따라서 분류 복잡도가 다르며, 경우에 따라 데이터 분포에서 존재하는 불균형 정도를 완전히 해소하지 않아도 된다. 이에 본 논문은 분류 복잡도를 활용해 데이터 셋 별 적정 오버 샘플링 비율을 산출하는 알고리즘을 제안한다.
사회적 감성이 가상화폐 가격에 미치는 영향분석 : 실물화폐와의 비교를 중심으로
박민규(Mingyu Park),이청록(Cheongrok Lee),김경옥(Kyoungok Kim),이영훈(Younghoon Lee) 대한산업공학회 2021 대한산업공학회지 Vol.47 No.1
This paper analyzes the volatility of the ever-changing currency price and sentiment score from data in tweets and news on the Internet, and puts forward the logical basis for the relationship between them through quantitative figures. Assume that cryptocurrency is more affected by social sensibilities such as tweets and that commodity money is more affected by traditional mass media such as news. Text data such as tweet data and news related currency articles were collected to calculate sentiment scores. Correlation analysis was then performed to analyze the relationship between the price of each currency and the scores. As a result, bitcoin prices had patterns of variation similar to those of relatively social media, and gold prices had patterns of variation similar to those of relatively traditional mass media. Considering the focus of existing studies on cryptocurrency, this study can extend its scope to commodity money, thereby extending the scope of future research areas and contributing to its value.
외국인 관광객 리뷰 분석을 통한 외국인 관광객 수에 영향을 끼치는 요인 분석
박홍제(Hongjea Park),이도현(Dohyun Lee),김경옥(Kyoungok Kim) 대한산업공학회 2021 대한산업공학회지 Vol.47 No.1
In order to attract foreign tourists, it is necessary to improve the quality of tourism services. To achieve this goal, this paper aims to extract tourists’ satisfaction factors that attract foreign tourists on domestic tour spots and examine the relations between the extracted factors and the number of foreign travelers using a data-driven methodology. To do so, we collected review comments from Tripadvisor which is one of the most popular travel platforms and semantics-assisted non-negative matrix factorization is utilized to extract key satisfaction factors. Then, sentiment scores on the extracted factors are estimated using the sentiment dictionary obtained by elastic net. Unlike existing studies that usually focused on defining satisfaction factors for tourists, we investigated the effects of the factors on the number of foreign tourists using Seoul floating population data.
김옥수,김소선,김경옥,김영애,김희승,박정숙,최원자 노인간호학회 2006 노인간호학회지 Vol.8 No.1
Purpose: The purpose of this study was to investigate the needs for paying nursing homes for the middle-aged. Method: The subjects consisted of 365 people aged from 40 to 59 residing in Seoul. The questionnaire was composed of the general characteristics of the subjects, recognition and the intention of utilizing paying nursing homes, expenses of paying nursing homes, the operator of paying nursing homes, environment of paying nursing homes, and the service of paying nursing homes. Result: The frequency of the subjects with intentions of utilizing nursing homes was 48.2%. Gerontological nurse practitioners were preferred as the operators of nursing homes by 72.9% of the subjects. The majority of the subjects hoped to receive medical and nursing service in paying nursing homes. Conclusion: The results indicate that there are needs for high quality, low expense paying nursing homes. Therefore, it is necessary to reflect the needs of the subjects when designing the facility.