• Title, Summary, Keyword: Naver Form

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A study on online survey user experience -Focused on Google and Naver form- (온라인 설문조사 사용자 경험 연구 -구글과 네이버 폼을 중심으로-)

  • Hwangbo, Yeon;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.379-384
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    • 2019
  • This study is an online survey user experience study. The purpose of this research is user experience research to make use and development of online surveys. In-depth interviews were conducted with 8 native Koreans who were not experienced with Naver and Google, and were surveyed using Peter Morville's Honeycomb model. In addition, we performed evaluation through tasks and think-aloud. Naver is highly useful, usable, desirable and findable, and Google can confirm its superior accessible and flexible. Research has shown that improvements in usability and ease of functioning are needed by reclassifying and moving menu categories. Online survey user experience that has not been studied previously can predict the direction of usability improvement and can help the user side. We hope that this research will improve the usability of online surveys, and will lead to various related research.

Mobile Web-toon Application Service Usability Study -Focus on Naver Web-toon and Lezin Comics- (모바일 웹툰 애플리케이션 서비스 사용성 연구 -네이버 웹툰과 레진 코믹스를 중심으로-)

  • Ha, Joohyung;Kim, Seung-in
    • Journal of Digital Convergence
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    • v.14 no.9
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    • pp.431-436
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    • 2016
  • Web-toon is provided to users in the form of Web-toon and The users are steadily rising and increasing amount of using time until today. Web-toon has become a popular pastime among smartphone users. Therefore, when providing services, Web-toon application should be made with an appropriate system so that it can be easily used, and considering problems that users may have while using the application, it should help users have better experiences. With Naver Web-toon and Lezin Comics as subjects, user experiences of teenagers were analyzed with questionnaires based on Honeycomb model of Peter Morville. The score of Naver Web-toon was higher than Lezin Comics after user experience assesment, and usability and accessibility as important factors turned out to be influential to teen-aged users who use Web-toon services.

Analysis of Naver CAPTCHA with Effective Segmentation (효과적인 글자 분리 방법을 사용한 네이버 캡차 공격)

  • Nyang, Dae Hun;Choi, Yong Heon;Hong, Seok Jun;Lee, Kyunghee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.5
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    • pp.909-917
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    • 2013
  • CAPTCHA is an automated test to tell apart computers from human mainly for web services, and it has been evolved since the most naive form in which users are requested to input simple strings has been introduced. Though many types of CAPTCHAs have been proposed, text-based CAPTCHAs have been widely prevailed for user convenience. In this paper, we introduce new segmentation schemes and show an attack method to break the CAPTCHA of Naver that occupies more than 70% of the market share in search engine. The experimental results show that 938 trials out of 1000 have successfully analyzed, which implies that we cannot use the CAPTCHA anymore.

A Study on the Evaluation of Fashion Design Based on Big Data Text Analysis -Focus on Semantic Network Analysis of Design Elements and Emotional Terms- (빅데이터 텍스트 분석을 기반으로 한 패션디자인 평가 연구 -디자인 속성과 감성 어휘의 의미연결망 분석을 중심으로-)

  • An, Hyosun;Park, Minjung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.3
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    • pp.428-437
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    • 2018
  • This study derives evaluation terms by analyzing the semantic relationship between design elements and sentiment terms in regards to fashion design. As for research methods, a total of 38,225 texts from Daum and Naver Blogs from November 2015 to October 2016 were collected to analyze the parts, frequency, centrality and semantic networks of the terms. As a result, design elements were derived in the form of a noun while fashion image and user's emotional responses were derived in the form of adjectives. The study selected 15 noun terms and 52 adjective terms as evaluation terms for men's striped shirts. The results of semantic network analysis also showed that the main contents of the users of men's striped shirts were derived as characteristics of expression, daily wear, formation, and function. In addition, design elements such as pattern, color, coordination, style, and fit were classified with evaluation results such as wide, bright, trendy, casual, and slim.

A study on proper dosage of Ma-huang(麻黃) (마황(麻黃)의 적정 용량에 대한 고찰(考察))

  • Ryu, Hee-chang;Shin, Jeong-gyu
    • 대한상한금궤의학회지
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    • v.5 no.1
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    • pp.101-111
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    • 2013
  • Objective : The purpose of this study is to find out the proper dosage of Ma-huang for clinical use of Shanghanlun(傷寒論) Methods : To achive the purpose of this study, web-databases(pubmed, naver, google) were searched with the keywords including 'dose of Ma-huang Ephedra Ephedrine','dosage of Ma-huang Ephedra Ephedrine', and 'water extract of Ma-huang Ephedra'. The searched 30 papers and articles were reviewed. Results & Conclusions : 1. Proper dosage of Ma-huang 1) Adult: up to 9-12g/day 2) Adolescent: up to 6g/day 3) Hypertension disorder patient: up to 6g/day 4) lactating women: up to 6g/day 5) child: <2 years 0.7-2.5g/day, $${\geq_-}2$$ years 2.6-6g/day (Different from body weight) Although administration of Ma-huang to hypertension disorder patient, lactating women, child is safe on the paper, It is not recommended to these people because Ma-huang is one of toxic herbs. 2. Dosage form of Ma-huang There's no safety paper about pill or powdered Ma-huang(麻黃). There's not pill or powdered prescription of Ma-hunag in Shanghanlun(傷寒論), either. So it is recommended to administrate water exetract of Ma-huang.

Sentiment Analysis of Korean Reviews Using CNN: Focusing on Morpheme Embedding (CNN을 적용한 한국어 상품평 감성분석: 형태소 임베딩을 중심으로)

  • Park, Hyun-jung;Song, Min-chae;Shin, Kyung-shik
    • Journal of Intelligence and Information Systems
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    • v.24 no.2
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    • pp.59-83
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    • 2018
  • With the increasing importance of sentiment analysis to grasp the needs of customers and the public, various types of deep learning models have been actively applied to English texts. In the sentiment analysis of English texts by deep learning, natural language sentences included in training and test datasets are usually converted into sequences of word vectors before being entered into the deep learning models. In this case, word vectors generally refer to vector representations of words obtained through splitting a sentence by space characters. There are several ways to derive word vectors, one of which is Word2Vec used for producing the 300 dimensional Google word vectors from about 100 billion words of Google News data. They have been widely used in the studies of sentiment analysis of reviews from various fields such as restaurants, movies, laptops, cameras, etc. Unlike English, morpheme plays an essential role in sentiment analysis and sentence structure analysis in Korean, which is a typical agglutinative language with developed postpositions and endings. A morpheme can be defined as the smallest meaningful unit of a language, and a word consists of one or more morphemes. For example, for a word '예쁘고', the morphemes are '예쁘(= adjective)' and '고(=connective ending)'. Reflecting the significance of Korean morphemes, it seems reasonable to adopt the morphemes as a basic unit in Korean sentiment analysis. Therefore, in this study, we use 'morpheme vector' as an input to a deep learning model rather than 'word vector' which is mainly used in English text. The morpheme vector refers to a vector representation for the morpheme and can be derived by applying an existent word vector derivation mechanism to the sentences divided into constituent morphemes. By the way, here come some questions as follows. What is the desirable range of POS(Part-Of-Speech) tags when deriving morpheme vectors for improving the classification accuracy of a deep learning model? Is it proper to apply a typical word vector model which primarily relies on the form of words to Korean with a high homonym ratio? Will the text preprocessing such as correcting spelling or spacing errors affect the classification accuracy, especially when drawing morpheme vectors from Korean product reviews with a lot of grammatical mistakes and variations? We seek to find empirical answers to these fundamental issues, which may be encountered first when applying various deep learning models to Korean texts. As a starting point, we summarized these issues as three central research questions as follows. First, which is better effective, to use morpheme vectors from grammatically correct texts of other domain than the analysis target, or to use morpheme vectors from considerably ungrammatical texts of the same domain, as the initial input of a deep learning model? Second, what is an appropriate morpheme vector derivation method for Korean regarding the range of POS tags, homonym, text preprocessing, minimum frequency? Third, can we get a satisfactory level of classification accuracy when applying deep learning to Korean sentiment analysis? As an approach to these research questions, we generate various types of morpheme vectors reflecting the research questions and then compare the classification accuracy through a non-static CNN(Convolutional Neural Network) model taking in the morpheme vectors. As for training and test datasets, Naver Shopping's 17,260 cosmetics product reviews are used. To derive morpheme vectors, we use data from the same domain as the target one and data from other domain; Naver shopping's about 2 million cosmetics product reviews and 520,000 Naver News data arguably corresponding to Google's News data. The six primary sets of morpheme vectors constructed in this study differ in terms of the following three criteria. First, they come from two types of data source; Naver news of high grammatical correctness and Naver shopping's cosmetics product reviews of low grammatical correctness. Second, they are distinguished in the degree of data preprocessing, namely, only splitting sentences or up to additional spelling and spacing corrections after sentence separation. Third, they vary concerning the form of input fed into a word vector model; whether the morphemes themselves are entered into a word vector model or with their POS tags attached. The morpheme vectors further vary depending on the consideration range of POS tags, the minimum frequency of morphemes included, and the random initialization range. All morpheme vectors are derived through CBOW(Continuous Bag-Of-Words) model with the context window 5 and the vector dimension 300. It seems that utilizing the same domain text even with a lower degree of grammatical correctness, performing spelling and spacing corrections as well as sentence splitting, and incorporating morphemes of any POS tags including incomprehensible category lead to the better classification accuracy. The POS tag attachment, which is devised for the high proportion of homonyms in Korean, and the minimum frequency standard for the morpheme to be included seem not to have any definite influence on the classification accuracy.

Necessity of Adverse Event Reporting System through the Trend of Internet News about Safety of Herbal Medicine (한약의 안전성에 대한 인터넷 보도의 특성을 통해 본 한약 부작용 관리 체계 확립의 필요성)

  • Cheon, Chun-Hoo;Park, Jeong-Su;Park, Sun-Ju;Kweon, Kee-Tae;Shin, Yong-Cheol;Ko, Seong-Gyu
    • Journal of Society of Preventive Korean Medicine
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    • v.15 no.2
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    • pp.131-143
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    • 2011
  • Objective : The aims of this study are to investigate the trend of internet journalism about the toxicity and safety of the herbal medicine, and to suggest the regulatory solution of the issue. Method : In this study, we had searched the internet news article published from 2001 to 2011 in the five major portal sites-NAVER, DAUM, Nate, Google Korean, and Yahoo Korean. The search terms were 'herbal medicine', 'adverse event', 'toxicity'. If the articles described the same event in the same form and tone, the articles were considered overlapping. The overlapped articles were excluded. The articles were categorized by the form and tone. The form categories were straight news, interpretative story, editorial, interview, and the tone categories are the positive, the negative, and the neutral. The regulations were searched about the negative issue. Result : Total 56 articles were reviewed. There were 19 positive articles, 29 negative articles, 8 neutral articles. Most negative issues have the proper regulations, but insufficient measures for the adverse event reporting system. Conclusion : The herbal medicine specified adverse event reporting system is essential.

LOHAS Marketing Strategy of Fashion Company for Sustainable Image Positioning -Focus on Domestic and Foreign Case Analysis- (패션업체의 지속가능한 기업이미지 포지셔닝을 위한 로하스 마케팅 전략 -국내·외 사례분석을 중심으로-)

  • Hong, In-Sook;Kim, You-Jeong
    • Journal of the Korean Society of Clothing and Textiles
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    • v.35 no.9
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    • pp.1069-1084
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    • 2011
  • This study investigates the main trend of LOHAS, examines and analyzes the LOHAS marketing cases of the fashion industry, and proposes an effective LOHAS marketing strategy for the domestic fashion market. Data were collected from Naver, Google and Daum from 2005 (when LOHAS began to be recognized) to October $31^{st}$ 2010. We searched the research material with keywords related to the research subject (such as eco, green, well being, echo-friendly, LOHAS, sustainable, environmental management, and green management) to conduct a theoretical and exploratory study through qualitative analysis. The data are analyzed with three types such as personal value of eco-friendly fabric, economical value of recycled fabric and re-use or re-form, and social-ethical value of distribution and promotion. The research results show that LOHAS marketing activities focused on personal values and social-ethical values (rather than economical value) and from an eco-friendly management centered on merchandise; in addition, an eco-friendly supply chain management incorporated with a management system were applied. LOHAS marketing strategies at home and abroad revealed some differences in the cases of eco-friendly fabric, recycling, and fair trade.

Factors Influencing Acceptance of Online Social Shopping Site (온라인 Social Shopping 사이트 이용의도에 영향을 미치는 요인에 관한 연구)

  • Kang, You Rie;Park, Cheol
    • Journal of Information Technology Services
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    • v.10 no.1
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    • pp.1-20
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    • 2011
  • The market structure and consumer characteristics are changing dynamically according to internet shopping industry developing based on Web 2.0. But, there is absent typical online service after 'Cyworld.' The social shopping sites based on social networking reflect to present phenomenon that collective intellect, information sharing, participate in making information. The social shopping sites are not limited in particular shopping sites but include all of sites in online. So, consumers can copy various products and display on their own blog provided from social shopping sites and make some purchase reviews and any comments about products can lead transactions among social shopping sites. So, it might be a one of meta-shopping mall like 'Naver.' As the social shopping sites are new form, we just applied to TAM theory to figure out acceptance factors using SEM. The perceived enjoyment affect to usefulness, ease of use and using intension. The perceived ease of use also affect to usefulness and the usefulness affect to using intension positively. But the perceived ease of use was for nothing in using intension. Finally, we provided managerial implications to activate domestic online shopping industry and theoritical meaning using extended TAM.

The Effect of Knowledge of and Attitude to Breast Self-examination on Female University Students' Intention to Practice (여대생의 유방자가검진에 대한 지식과 태도가 실천의도에 미치는 영향)

  • Lim, Seungjoo;Jang, Insun
    • The Journal of the Korean Society of School Health
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    • v.30 no.3
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    • pp.202-210
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    • 2017
  • Purpose: This study was to determine the effect of knowledge of and attitude to Breast Self-Examination (BSE) on female university students' intention to practice. Methods: The subjects were female university students who participated in the Pink Ribbon Campaign of the Korea Breast Health Foundation held at H University on October 11, 2016. The data were collected using a questionnaire in Naver Office Form. The data were analyzed by $x^2$ test, t-test, Mann-Whitney U test, ANOVA and logistic regression model using SPSS 21.0 program. Results: Significant factors influencing the intention to practice were BSE educational experience and the benefits of BSE. The odds ratios were 3.61 and 5.92, respectively. Conclusion: It was found that the benefits of BSE were more influential than the educational experience on BSE as an influencing factors of BSE practice intention. Also, it was confirmed that attitude should be considered more important than knowledge in order to increase their practice intention. Since the benefits, among attitudinal factors, were confirmed as an influencing factor, BSE educational programs for female university students should put more focus on the benefits of BSE, not just sticking to delivering related knowledge.