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이아름 ( Areum Lee ),이진화 ( Jin Hwa Lee ) 한국의류산업학회 2018 한국의류산업학회지 Vol.20 No.5
The objective of this study is to examine the perception of golfwear and related trends based on major keywords and associated words related to golfwear utilizing big data. For this study, the data was collected from blogs, Jisikin and Tips, news articles, and web cafe from two of the most commonly used search engines (Naver & Daum) containing the keywords, ‘Golfwear’ and ‘Golf clothes’. For data collection, frequency and matrix data were extracted through Textom, from January 1, 2016 to December 31, 2017. From the matrix created by Textom, Degree centrality, Closeness centrality, Betweenness centrality, and Eigenvector centrality were calculated and analyzed by utilizing Netminer 4.0. As a result of analysis, it was found that the keyword ‘brand’ showed the highest rank in web visibility followed by ‘woman’, ‘size’, ‘man’, ‘fashion’, ‘sports’, ‘price’, ‘store’, ‘discount’, ‘equipment’ in the top 10 frequency rankings. For centrality calculations, only the top 30 keywords were included because the density was extremely high due to high frequency of the co-occurring keywords. The results of centrality calculations showed that the keywords on top of the rankings were similar to the frequency of the raw data. When the frequency was adjusted by subtracting 100 and 500 words, it showed different results as the low-ranking keywords such as J. Lindberg in the frequency analysis ranked high along with changes in the rankings of all centrality calculations. Such findings of this study will provide basis for marketing strategies and ways to increase awareness and web visibility for Golfwear brands.
SNS Big-data를 활용한 TV 광고 효과 분석 시스템 설계
이아름(Areum Lee),방지선(Jiseon Bang),김윤희(Yoonhee Kim) 한국정보과학회 2015 정보과학회 컴퓨팅의 실제 논문지 Vol.21 No.9
스마트폰 보급률이 증가함과 함께 SNS(Social Networking Service) 이용자도 늘어가고 있다. SNS는 실시간으로 사람들 간의 개인적인 의견을 빠르게 주고받을 수 있다는 특징이 있어 이를 통해 개인의 반응을 실시간으로 수집, 분석이 가능하다. 한편, TV광고 효과 분석에 있어 사람들의 의견을 실시간으로 수집하고 분석하기 위해 새로운 접근 방법이 필요해졌다. 이에 본 연구에서는 트위터라는 특정 SNS를 대상으로 광고에 대한 데이터를 수집하여 실시간으로 광고 효과를 분석하는 시스템을 설계 및 구축하였다. 특히, 하둡을 이용하여 빅데이터 분석을 병렬화하여 효율적으로 수행하도록 하였으며, TV광고에 대해 언급도와 선호도, 신뢰도를 각각 분석하여 다양한 분석을 가능하게 하였다. 오피니언 마이닝 기법을 신뢰도 분석에 사용하여 분석의 정확도를 높였다. 구축한 시스템을 통해 트위터 SNS를 대상으로 TV광고에 대한 분석을 세분화하여 신속하게 처리할 수 있음을 보여주었다. As smart-phone usage increases, the number of Social Networking Service (SNS) users has also exponentially increased. SNS allows people to efficiently exchange their personal opinion, and for this reason, it is possible to collect the reaction of each individual to a given event in real-time. Nevertheless, new methods need to be developed to collect and analyze people"s opinion in real-time in order to effectively evaluate the impact of a TV advertisement. Hence, we designed and constructed a system that analyzes the effect of an advertisement in real-time by using data related to the advertisement collected from SNS, specifically, Twitter. In detail, Hadoop is used in the system to enable big-data analysis in parallel, and various analyses can be conducted by conducting separate numerical analyses of the degrees of mentioning, preference and reliability. The analysis can be accurate if the reliability is assessed using opinion mining technology. The proposed system is therefore proven to effectively handle and analyze data responses to divers TV advertisement.
이아름(Lee, Areum),김은연(Kim, Eunyun),유현지(Yoo, Hyunji),최예린(Choi, Yaelin) 한국음성학회 2015 말소리와 음성과학 Vol.7 No.4
This study was conducted to identify the differences in voice characteristic variables before and after taking a certain amount of high-caffeine. Linear PCM-M10 Recorder (SONY) was used for the recorder and basic frequency of the voice (Fo), frequency fluctuation rate (jitter), amplitude fluctuation rate (shimmer) and Signal-to-Noise Ratio (SNR) were measured using TF-32(University of Wisconsin-Madison, USA). First, prolonged phonation analysis results of /ah/ by male subjects showed the shimmer values after taking high-caffeine increased statistically significantly(p<.05) compared with before the intake and SNR values significantly decreased. (p<.05). On the other hand, female subjects didn’t show any statistically significant differences in all variables. Second, male subjects showed statistically significant increased shimmer values after the intake compared with before the intake at /ah/ of syllable ‘na’ and /ah/ in ‘ra’ in ‘autumn’ paragraph (p<.05), and jitter values significantly increased at /ah/ in ‘ah’ (p<.05). However, female subjects didn’t show any statistically significant differences in all variables. Results of this study showed that high-caffeine intake more affects male subjects than female subjects. In male subjects, shimmer and SNR changed at vowel prolonged phonation, /ah/, and study results showed that shimmer and SNR in ‘Autumn’ paragraph /na/, /ra/ and jitter in /ah/ could be identified as the variables to show the voice change.