• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.403-405
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• 2018

도시 속 상업 공간에서는 공간적 위치에 따른 지리적 이점이나 판매하는 상품뿐만 아니라, 해당 공간 속에서 소비자가 느낄 수 있는 문화와 감성이 소비자가 소비를 유하게 하는 중요한 요소가 되기도 한다. ICT 서비스 환경이 자리를 잡아 감과 동시에 제4차 산업 혁명이 도래하고 있는 현대 정보화 환경 속에서 소비자들은 자신의 심리나 감성, 정서에 들어맞는 공간에 방문하며 소비하고 SNS를 통해 공유한다. SNS는 Social Network Service의 줄임말로 너무나 일반적으로 우리 일상에 들어와 있는 개념이다. SNS의 시작은 마케팅의 한 분야로 시작된 것으로 판단된다. SNS를 이용한 홍보마케팅은 21세기에 접어들면서 고객들의 주관적인 개개인의 욕구 충족과 감성을 중시하게 됨으로써 예전보다 더 복합적이며 정교해졌다. 본 연구는 SNS 데이터를 블로그, 카페, 페이스북, 인스타그램에서 지역 명칭을 키워드로 1년간 콘텐츠를 크롤링하며, 형태소 분석기를 통해 학습할 수 있도록 데이터 전처리 작업을 한다. 마지막으로 딥러닝 알고리즘인 RNN 중 LSTM을 사용하여 감성 분석 학습 모델을 만들어서 지역별 콘텐츠의 주요분야, 긍/부정을 판별한다. 이렇게 분석한 데이터를 이용해 각 지역만의 특색과 인기 분야, 비인기 분야, 더 나아가 유망한 분야를 알아본다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.2
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• pp.173-180
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• 2021

Recently, the importance of competitive cities has emerged, and many cities around the world are striving to gain competitiveness. Domestic cities are also enhancing their competitiveness by taking advantage of the city's uniqueness and locality with strategies differentiated from other cities, and interest in city brands is increasing. This study seeks to enhance the city brand by improving the landscape elements of the airport, a representative international entrance. Through Instagram's hashtag function, it aims to derive elements of landscape preferred by airport users and to find ways to enhance Busan's city brand based on them.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.2
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• pp.47-72
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• 2021

This research aims to examine the cause-and-effect relationship between the user's purchase intention and word-of-mouth for Instagram advertisements. In addition, Instagram currently has many users in the order of Kakao Talk, Facebook, and Instagram. However, most of the previous prior papers are research on the current status of Instagram. Recent research on Instagram advertising has been lacking. This research is academically significant in that it conducted with the focus on advertising on Instagram. In addition, we provide a framework based on future research in that we proposed a model between human psychology and the oral effect on how much Instagram affects purchasing through the theory of emotional response (PAD). Future studies need to demonstrate the relationship between emotion response (PAD) factors that directly affect purchase intent. Finally, it will need to be studied to analyze purchasing patterns using data mining techniques between different social network services.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.3
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• pp.55-73
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• 2022

This study aims to identify the object relations and PAD factors of Instagram users, apply the object relations to the emotional response (PAD) factors, and empirically study the structural relationship between these factors and satisfaction. To this end, we proposed a research model to which the four factors of object relations theory and the three factors of emotional response (PAD) theory that emphasize the emotions of users are applied. Surveys were conducted on the college students in Seoul and Suwon who had used Instagram. As a result of this study, the following conclusions can be drawn: Non-alienation has a significant influence on pleasure, arousal, and domination. Secure attachment does not have a significant influence on pleasure and arousal, while it does have on domination. Social ability does not have a significant influence on pleasure, arousal, and domination. Egocentrism has a significant influence on arousal, but not on pleasure and domination. Pleasure has a significant influence on arousal and satisfaction. Arousal has a significant influence on domination and satisfaction. Domination has a significant influence on satisfaction. In conclusion, when emotions are shared among the users of Instagram, not alienated, it affects their satisfaction.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.101-110
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• 2022

This study sheds light on the Instagrammable features and viewing experiences of . A research model and hypotheses are formulated using variables including Experience Quality (EQ), Perceived Value (PV), Attitude toward AWA (ATAWA) and Behavioral Intention toward AWA (BITAWA). Although AWA has strong the Instagrammable features in terms of PV, it provides aesthetic or healing experience rather than a pleasure. PV has a significant correlation with DOS and DOI, but it does not influence on BITAWA. In addition, DOS has a positive impact on the increase in DOI, length of viewing time and intention to upload and share photos on Instagram.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.225-228
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• 2022

중고 거래 플랫폼 사용이 증가함에 따라 각 중고 거래 플랫폼에 많은 사진과 글이 업로드되고 있다. 플랫폼에 올린 사진과 글을 통해 일차적으로 해당 이용자의 나이대, 사는 동네, 가족 관계, 신체 사이즈, 특정 제품 취향을 알 수 있다. 중고 거래 플랫폼에서 전화번호를 얻게 될 경우, 이차적으로 카카오톡을 통해 이용자의 얼굴 사진, 연동된 계정을 알 수 있다. 이때 얻은 얼굴 정보와 이름, 계정을 통해 인스타그램, 카카오스토리, 페이스북 등 SNS 를 통한 해당 이용자의 추가적인 개인정보들을 얻을 수 있다. 이처럼 이용자가 작성한 글을 통해 사적인 정보가 드러남으로써 심각한 개인정보 유출로 이어질 수 있다. 중고 거래 플랫폼 이용자의 직접적인 입력으로 인한 개인정보 노출을 예방하기 위해서는 이용자에게 게시물에 포함된 개인정보와 개인정보 유출의 위험성을 인지시켜 유출 위험성이 높은 개인정보는 게시하지 않도록 해야 한다. 본 논문에서는 중고 거래 판매 게시물 기반 개인정보 유출 워크플로우를 작성하여 중고 거래 플랫폼에서 나타나는 개인정보 유출의 현황을 분석하고 이를 방지하기 위한 방법을 제안했다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.888-889
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• 2023

문서를 통해 기록을 남기는 과거의 기록 방식은 현대에 이르러 블로그, 인스타그램 등 다양한 SNS를 활용하는 방식으로 변모하고 있다. SNS의 발달과 대중화는 현대인에게 일반적인 일기 작성 포맷으로 자리 잡고 있다. 증가하는 수요와 디지털 기술 혁신에 대비되는 기존의 수동적인 일기 작성 애플리케이션을 대체하기 위해 본 논문은 DALL-E2와 블록체인을 활용한 일기 작성 및 민팅 애플리케이션 구현을 제안한다. 사용자는 제안하는 애플리케이션을 통해 음성인식, 광학 문자인식을 통한 다양한 일기 작성 방식을 제공받고, 완성된 일기 이미지를 디지털 자산으로서 보존할 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.255-260
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• 2020

In this paper, I propose an efficient brand identity strategy by topic modeling the Instagram posts, one of SNS(Social Network Service) having more than 1billion world-wide and 500 million daily users. Since the 92% age groups of the Instagram is 18~50 years old (59% 18~29y and 33% 30~49), I set research analysis target three mobile commerce sites to dress and cosmetics sales sites that sale apparels cosmetics and gadgets that recently opened and have operated marketing on diverse channel including SNS. By topic modeling SNS posts for 6 months after launching the site that tagged each m-commerce site brand name or company name, I validate companies' brand identity strategy works effectively and suggest moderation of strategy for brand image. As a result, I found one of three mobile commerce site has different brand image by users and need different identity set up.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.181-188
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• 2020

Many areas are on the verge of disappearing soon due to low birth rates and an increasing number of elderly people. To overcome this crisis, efforts must be made to escape the destruction of the area through the village community. This study was conducted to find out the use of online platforms for village communities and through literature research, current status surveys, and surveys, we wanted to find out how online platforms are being utilized. The study results are summarized as follows. First, urban renewal support projects are currently being conducted under the government-led initiative to revitalize the village community, and online platforms are being used mainly by local governments' urban renewal support centers. Second, if you look at the frequency of online platform usage by ordinary people, you are using Naver the most in all age groups, and next, you are using the website. People in their 20s and 30s use Instagram more than Facebook, while those in their 40s and 50s use Facebook more than Instagram. In utilizing the online platform for the village community, the status and frequency of use of the online platform should be taken into account comprehensively.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.709-716
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• 2020

In social media, when posting a post, tag information of an image is generally used because the search is mainly performed using a tag. Users want to expose the post to many people by attaching the tag to the post. Also, the user has trouble posting the tag to be tagged along with the post, and posts that have not been tagged are also posted. In this paper, we propose a method to find an image similar to the input image, extract the label attached to the image, find the posts on instagram, where the label exists as a tag, and recommend other tags in the post. In the proposed method, the label is extracted from the image through the model of the convolutional neural network (CNN) deep learning technique, and the instagram is crawled with the extracted label to sort and recommended tags other than the label. We can see that it is easy to post an image using the recommended tag, increase the exposure of the search, and derive high accuracy due to fewer search errors.