• Title/Summary/Keyword: Keyword Marketing

Search Result 69, Processing Time 0.022 seconds

Extracting Method of User's Interests by Using SNS Follower's Relationship and Sequential Pattern Evaluation Indices for Keyword (키워드를 위한 시퀀셜 패턴 평가 지표와 SNS 팔로워의 관계를 이용한 사용자 관심사항 추출방법)

  • Shin, Bong-Hi;Jeon, Hye-Kyoung
    • Journal of the Korea Convergence Society
    • /
    • v.8 no.8
    • /
    • pp.71-75
    • /
    • 2017
  • Due to the spread of SNS, web-based consumer-generated data is increasing exponentially. It is important in many fields to accurately extract what is appropriate for the user's interest in a large amount of data. It is especially important for business mangers to establish marketing policies to find the right customers for them in many users. In this paper, we try to obtain important information centering on customers who are interested in each account through Twitter follow - following relationship. Because Twitter's current follower relationships do not reflect the user's interests, we try to figure out the details of interest using keyword extraction methods for tweets of followers. To do this, we select two domestic commercial Twitter accounts and apply the sequential pattern evaluation index to the mining key phrase of the text data collected from the follower.

Identification of sentiment keywords association-based hotel network of hotel review using mapper method in topological data analysis (Topological Data Analysis 기법을 활용한 호텔 리뷰데이터의 감성 키워드 기반 호텔 관계망 구축)

  • Jeon, Ye-Seul;Kim, Jeong-Jae
    • The Korean Journal of Applied Statistics
    • /
    • v.33 no.1
    • /
    • pp.75-86
    • /
    • 2020
  • Hotel review data can extract various information that includes purchasing factors that lead to consumption, advantages, and disadvantages for hotels. In particular, the sentiment keyword of the review data helps consumers understand the pros and cons of hotels. However, it is not efficient for consumers to read a large number of reviews. Therefore, it is necessary to offer a summary review to customers. In this study, we suggest providing summary information on sentiment keywords association as well as a network of hotels based on sentiment keywords. Based on a sentiment keyword dictionary, the extracted sentiment keywords associations construct the hotel network through topological data analysis based mapper. This hotel network allows a consumer to find some hotels associated with specific sentiment keywords as well as recommends the same related hotels. This summary information provides users with a summarized emotional assessment of hotels and helps hotel marketing teams understand consumers' perceptions of their hotel.

Expanding Research Topics in Foodservice and Restaurant Management: Rethinking Two Decades Bibliometrics in the Journal of the Korean Society of Food Culture (급식·외식 연구주제의 확장: 한국식생활문화학회지의 20년간의 서지학적 재고)

  • Han, Kyungsoo;Lee, Haeyoung;Shin, Sunhwa;Chai, Insuk
    • Journal of the Korean Society of Food Culture
    • /
    • v.37 no.3
    • /
    • pp.179-195
    • /
    • 2022
  • For any research study, in order to achieve the researcher's intended purpose, the depth of research is added, and the area of the subject is expanded by clearly defining the scope and objective. The study was undertaken to analyze the bibliographic data of 254 papers in the field of foodservice and restaurant published in the Journal of the Korean Dietary Culture from 2002 to 2021. The study was divided into two periods: 2002 to 2011, and 2012 to 2021. Research topics were derived and research trends according to temporal changes were confirmed through analysis of keyword networks by period. In addition, analyzing the keyword network of simultaneous appearance of "foodservice" and "restaurant", the research topics were compared and analyzed in relation to which keywords were expanded by period. Our analysis revealed that the research topics were mostly studied for satisfaction and nutrition. Additionally, they were classified into procurement, Korean food before employee menu, marketing, restaurant industry, and quality. In the period from 2002 to 2011, it was confirmed that studies encompassed a wide range of research topics, focusing on foodservice and restaurant; in the second period from 2012 to 2021, the research topics were more classified and subdivided.

A Study on the Application of SNS Big Data to the Industry in the Fourth Industrial Revolution (제4차 산업혁명에서 SNS 빅데이터의 외식산업 활용 방안에 대한 연구)

  • Han, Soon-lim;Kim, Tae-ho;Lee, Jong-ho;Kim, Hak-Seon
    • Culinary science and hospitality research
    • /
    • v.23 no.7
    • /
    • pp.1-10
    • /
    • 2017
  • This study proposed SNS big data analysis method of food service industry in the 4th industrial revolution. This study analyzed the keyword of the fourth industrial revolution by using Google trend. Based on the data posted on the SNS from January 1, 2016 to September 5, 2017 (1 year and 8 months) utilizing the "Social Metrics". Through the social insights, the related words related to cooking were analyzed and visualized about attributes, products, hobbies and leisure. As a result of the analysis, keywords were found such as cooking, entrepreneurship, franchise, restaurant, job search, Twitter, family, friends, menu, reaction, video, etc. As a theoretical implication of this study, we proposed how to utilize big data produced from various online materials for research on restaurant business, interpret atypical data as meaningful data and suggest the basic direction of field application. In order to utilize positioning of customers of restaurant companies in the future, this study suggests more detailed and in-depth consumer sentiment as a basic resource for marketing data development through various menu development and customers' perception change. In addition, this study provides marketing implications for the foodservice industry and how to use big data for the cooking industry in preparation for the fourth industrial revolution.

A Study on the Promotion Strategy for Internet Fashion Soho Shopping Mall (인터넷 패션 소호 쇼핑몰 활성화를 위한 촉진전략 연구)

  • Kim, Hee-Sun
    • Journal of the Korea Fashion and Costume Design Association
    • /
    • v.9 no.3
    • /
    • pp.59-73
    • /
    • 2007
  • The purpose of this study is to find out the promotion methods for successful management of 'the fashion saho internet shopping mall' with a small capital. This study analyze the research reports, the news items, the documents on the internet shopping mall and data on promotion method which are offered by the hosting companies of the internet shopping mall like 'Cafe 24', 'Make shop', 'Whoismall' and the promotion consulting companies like 'Whoisad', 'Naver keyword shop'. And also analyze the data that interviewed the administrator of internet shopping mall and directly observed the famous internet shopping mall sites. Generally speaking, the promotion mix, marketing communication program can classify 'advertisement', 'publicity', 'personal selling', and 'sales promotion'. This study analyze the research materials on the basis of advertisement, publicity, personal selling, and sales promotion. The result are as follows. 1. The promotion methods at the stage of information the shopping mall site to the consumer are advertisement, and publicity. ${\bigcirc}$ The methods of advertisement are 'searching engine registration', 'advertisement of key word', 'advertisement of overture', 'advertisement of banner', 'advertisement cooperation marketing', 'advertisement of e-mail'. ${\bigcirc}$ The methods of publicity are using 'cafe', 'blog', 'Naver information site', 'community bulletin board', 'the fashion magazine or a press report' and 'cosponsorship'. 2. The main promotion methods at the stage of inducing the purchase are 'personal selling', and various 'sales promotion'. ${\bigcirc}$ 'Personal selling' at the shopping mall have an effect on the communication at bulletin board over the internet and the telephone. ${\bigcirc}$ 'Sales promotion' are attempted by 'VMD', 'deposit system', 'sale', etc.

  • PDF

Keyword-based network analysis for contemporary fashion show affected by intermedia

  • Lee, Seulah;Shin, HyunJu;Lee, Younhee;Lee, Hyun-Jung
    • The Research Journal of the Costume Culture
    • /
    • v.28 no.4
    • /
    • pp.562-571
    • /
    • 2020
  • Intermedia refers to the convergence of media. The advance of intermedia has not only facilitated the delivery of brand messages in contemporary fashion shows but also facilitated interactive communication. This study investigated the mediating roles played by various media in fashion and fashion shows, focusing on the phenomenon of intermedia in contemporary fashion shows. To investigate the impact of intermedia on contemporary fashion shows, we conducted a social network analysis-a promising approach for research into fashion trends. Analyzing 159 fashion-related articles published in the 2000s, we extracted intermedia-related words (n=253). The relation-ships between keywords made an analysis of between centrality, and cluster variables applied Clauset-Newman-Moore by using KrKwic and NodeXL programs. The results of the between centrality analysis indicated that the most important factors in contemporary fashion shows are "models" and "stages." We found that the impacts of intermedia on contemporary fashion shows can be divided into four categories: "model performance," "symbolic stage management," "new media utilization," and "convergence in arts." Our analysis thus identified considerable synergy between the characteristics of intermedia and contemporary fashion shows. These results have found intermedia-related commonalities in intermedia and fashion show, and this might increase customer interest in fashion, a positive outcome for the fashion industry.

A case study on the contemporary fashion meme (현대 패션 밈(meme)에 관한 사례연구)

  • Kim, Koh Woon
    • The Research Journal of the Costume Culture
    • /
    • v.28 no.3
    • /
    • pp.330-343
    • /
    • 2020
  • This study defines the concept of the fashion meme, which has recently emerged as a fashion trend, influential fashion keyword. After analyzing the concepts and characteristics of traditional memes from prior studies, examples of fashion memes were collected from online community and social network services, while a literature study and case study analysis were conducted in parallel drawing on related articles and journals. Modern fashion memes refer to fashion-related symbols and fashion images that are spread online by word-of-mouth, together with fashion styles and items that spread as a result of being worn. Fashion memes in cyberspace are mainly spread through social network or message services, and sometimes combine text, images, videos, hashtags, and emoticons. Fashion memes are a type of collective action of the people in response to social problems in the world, and often involve humorous antics, satire, shock, and eccentricity. Shared fashion memes reflect the expression of personality expression and fun, and at the same time are used as an expression of designer and brand creativity and are integral to marketing. Fashion memes are classified into four types, based on two central axes as follows: non-commercial/commercial and anti-fashion/fashion-friendly. Unlike traditional memes, Internet-based fashion memes emphasize elements of transformation through creativity as well as imitation, which has become a persisting contemporary trend beyond temporary phenomena.

A Study on Children's Cosmetics Based on Analyzing Internet News and Best Items (인터넷 기사와 Best Item 분석을 통해 살펴본 어린이 화장품 연구)

  • Shim, Joonyoung
    • Journal of Fashion Business
    • /
    • v.22 no.2
    • /
    • pp.134-149
    • /
    • 2018
  • The number of children wearing make-up is increasing. "Children's cosmetics" is not a legal term though it is commonly used. The purpose of this study is to analyze discussions on children's cosmetics based on news articles found on the internet. This study also identifies what products are being distributed as children's cosmetics. Keyword searches were conducted using internet portal sites. Information was extracted from news articles and Best Item 100 for children's cosmetics. The results of analyzing news articles and Best Item 100 lists are as follows : 1. There were two main discussion topics in news articles. The first topic was related to marketing(the branding and trends of children's cosmetics). The other topic was about government regulations(side effects, harmful ingredients, control, regulations, attention, proper product usage, product categorization, and the overall safety of children's cosmetics). By 2014, many articles had covered government control and regulation. However, since 2017, news articles have focused on the product categorization and the concern for overall safety has dramatically increased. 2. Three different product categories have appeared in the Best Item 100; they are cosmetics, toys, and other products. In market, consumers recognized children's cosmetics as cosmetics and also as toys. Between 2017 and 2018's Best Item, other products are dramatically down, color cosmetics and single cosmetics are on the rise, and the purchase of domestic products has increased.

Topic Modeling Analysis of Beauty Industry using BERTopic and LDA

  • YANG, Hoe-Chang;LEE, Won-Dong
    • The Journal of Economics, Marketing and Management
    • /
    • v.10 no.6
    • /
    • pp.1-7
    • /
    • 2022
  • Purpose: The purpose of this study is identifying the research trends of degree papers related to the beauty industry and providing information which can contribute to the development of the domestic beauty industry and the direction of various research about beauty industry. Research design, data and methodology: This study used 154 academic papers and 189 academic papers with English abstracts out of 299 academic papers. All of these papers were found by searching for the keyword "beauty industry" in ScienceON on August 15, 2022. For the analysis, BERTopic and LDA (Latent Dirichlet Allocation) analysis were conducted using Python 3.7. Also, OLS regression analysis was conducted to understand the annual increase and decrease trend of each topic derived with trend analysis. Results: As a result of word frequency analysis, the frequency of satisfaction, management, behavior, and service was found to be high. In addition, it was found that 'service', 'satisfaction' and 'customer' were frequently associated with program and relationship in the word co-occurrence frequency analysis. As a result of topic modeling, six topics were derived: 'Beauty shop', 'Health education', 'Cosmetics', 'Customer satisfaction', 'Beauty education', and 'Beauty business'. The trend analysis result of each topic confirmed that 'Beauty education' and 'Health education' are getting more attention as time goes by. Conclusions: The future studies must resolve the extreme polarization between the structure of the small beauty industry and beauty stores. Furthermore, the researches have to direct various ways to create the performance of internal personnel. The ways to maximize product capabilities such as competitive cosmetics and brands are also needed attentions.

Research on Entrepreneurial Leadership: Focusing on the Research of the Past 10 Year

  • KIM, Seo-Young;KIM, Shang-Soon
    • The Journal of Economics, Marketing and Management
    • /
    • v.8 no.4
    • /
    • pp.37-45
    • /
    • 2020
  • Purpose: This study aims to clarify the concept of entrepreneurial leadership by reviewing the relevant existing studies, and to examine changes in entrepreneurial leadership research through review and statistical analysis on the articles published in Korean and international journals. Research Design, Data, and Methodology: Among the papers published between 2010 and 2020, 8 Korean studies and 42 international studies (UK and US) that clearly identify entrepreneurial leadership as research topic were analyzed. Results: Examinations on the yearly trends, keywords, and research methods reveal that research on entrepreneurial leadership is increasing recently with the emphasis on the statistical analysis. Keyword analysis shows high frequency of team and innovation for domestic research, while overseas research focuses on entrepreneurship, leadership, and gender associated keywords. Conclusions: This study has confirmed that overseas studies employ various methodologies, focusing on statistical analysis and that the effect of entrepreneurial leadership are in progress. For domestic cases, studies on entrepreneurial leadership are limited in number. Research topics and methods are areas that need further improvements. Research on entrepreneurial leadership has recently begun, requiring diversity in the subjects and methods for future development