• 한국IT서비스학회지
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• 제20권5호
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• pp.159-176
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• 2021

In this study, we performed a comparative analysis of the sentiment value for the tourists in USA, China, and Korea on the COVID19 pandemic era to explore and find out the features of the tourists by using online reviews. We collected a total of 243,826 online hotel reviews for metropolitan city and vacation spot in the three countries to compare the features between the business and the vacation trips. We collected the online reviews into the tow groups from Jan. 1, 2019 to Nov. 31, 2019 for before COVID19 pandemic and from Apr. 1, 2020 to Deb 28, 2021 for during COVID19. Online reviews were categorized into 6 dimensions using LDA model. Sentiment analysis were presented for 6 dimensions by utilizing a lexicon base. We proposed an approach to analyzing the importance of each attribute by applying 6-dimensional sentiment values to conjoint analysis. Our empirical analysis showed that the proposed approach could explore and find out the changed features of travelers during the COVID19 pandemic.

• 한국IT서비스학회지
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• 제17권2호
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• pp.165-177
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• 2018

Recently, online commerces are becoming more common due to factors such as mobile technology development and smart device dissemination, and online review has a big influence on potential buyer's purchase decision. This study presents a set of analytical methodologies for understanding the meaning of customer reviews of products in online transaction. Using techniques currently developed in deep learning are implemented Hierarchical Attention Network for analyze meaning in online reviews. By using these techniques, we could solve time consuming pre-data analysis time problem and multiple topic problems. To this end, this study analyzes customer reviews of laptops sold in domestic online shopping malls. Our result successfully demonstrates over 90% classification accuracy. Therefore, this study classified the unstructured text data in the semantic analysis and confirmed the practical application possibility of the review analysis process.

• 통상정보연구
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• 제17권3호
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• pp.3-27
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• 2015

제품이나 서비스에 대한 사용후기 중에는 과격한 표현이 포함되거나 사업자에게 불리한 내용이 포함된 것들이 많아서, 후기 작성자와 사업자 간에 마찰이 빚어지거나 심지어 법률적 분쟁으로까지 이어지는 경우가 많다. 본 연구는 부정적이고 과격한 표현이 담긴 사용후기관련 사례를 분석한 후, 사례에 나타난 사용후기에 대한 소비자들의 윤리적, 법률적 인식을 비교하기 위해 설문 조사를 실시하였다. 사례연구에 따르면, 대법원 판례는 행위자의 주요한 동기나 목적이 공공의 이익을 위한 것이라면 부수적으로 다른 사익적 목적이나 동기가 내포되어 있더라도, 후기 작성이 상대를 비방할 목적이 있다고 보기 어렵다고 판시한 바 있다. 사례 요지를 바탕으로 소비자들의 인식을 조사한 결과, 사업자에게 불리한 내용의 사용후기일지라도, 응답자들은 대체로 작성자의 법률적 책임수준보다는 이러한 행위에 대한 지지수준이 더 높은 것으로 나타났다. 구체적으로, 이러한 사용후기는 공공의 이익을 위한 정보제공에 더 큰 의미가 있으며, 특히 소비자에게 정확한 정보를 제공하기 위해서 허용되어야 한다는 의견이 우세해서, 연구대상 사례에 대한 대법원 판결과 맥락을 같이 하고 있다. 결론적으로, 사용후기에 대한 윤리의식과 함께 법률적 책임의식을 향상시키기 위한 정책적 노력이 병행될 필요가 있으나, 표현의 자유가 과도하게 침해되지 않도록 균형을 이루는 것이 중요하다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제9권9호
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• pp.259-266
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• 2020

본 논문에서는 온라인 고객 리뷰를 활용하여 건강 보조제, 화장품 등 현재의 상태를 개선하기 위해 사용되는 제품을 대상으로 그 효과를 알아보기 위한 제품 효과 분석 기법을 제시하였다. 제안하는 제품 효과 분석 기법은 블로그 포스팅에 존재하는 광고를 자동 제거하고, 효과 분석을 위한 증상, 효과, 증가, 및 감소로 이루어진 단어 사전을 구축하며, 제안하는 알고리즘을 통해 제품의 효과를 측정한다. 제품 효과 분석 기법을 검증하기 위해 정답 레이블이 존재하는 네이버 쇼핑 리뷰 데이터셋을 대상으로 성능평가를 실시하였으며, 전통적인 긍부정 사전과 RNN 모델과 성능을 비교하였다. 실험 결과, 본 논문에서 제안하는 효과 분석 기법이 다른 두가지 방법보다 정확도가 뛰어남을 보여주었다. 또한, 아토피 피부염, 여드름 치료제에 제안하는 기법을 적용하여 소셜 미디어에 나타난 효과적인 치료법을 소개하였다. 본 논문에서 제시한 알고리즘은 블로그를 포함한 여러 매체의 리뷰로부터 제품의 효과를 점수화할 수 있으므로 다양한 제품군과 소셜 미디어에 적용될 수 있을 것으로 보인다.

• 한국정보시스템학회지:정보시스템연구
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• 제20권2호
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• pp.21-36
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• 2011

The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes some contributions. Especially it proposes minimalism and chunking framework for analyzing and comparing consumer opinions of competing products. Users are able to clearly see the strengths and weaknesses of each product in the minds of consumers in terms of various product features. This comparison is useful to both potential customers and product manufacturers. For a product manufacturer, the comparison enables it to easily gather marketing intelligence and product benchmarking information. In this paper, we only focus on mining opinion/product features that the reviewers have commented on. Five types of online review presentations are presented to mine such features. Our experimental results show that these techniques are useful to identify customers' opinions and trends.

• 한국벤처창업학회:학술대회논문집
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• 한국벤처창업학회 2022년도 춘계학술대회
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• pp.123-126
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• 2022

Online reviews offer valuable information to businesses by reflecting consumer experiences about their products and services. Two important aspects of online reviews are first, the topics consumers choose to address and second, the sentiments expressed in their reviews. Building upon previous literature that shows online reviews are context-dependent, we examine the impact of topic distribution on review sentiment in South Korea and the U.S. during pre-and post-pandemic periods. After performing topic modeling on Airbnb app review data, we measure the contribution of each topic on review sentiment using SHAP values. Our results indicate variations in topic distribution trends between 2018 and 2021. Also, the order and magnitude of topics' impact on review sentiment change between pre-and post-pandemic periods for both countries. This study can help businesses to understand how topics and sentiments associated with their products and services changed after pandemic, and also help them identify areas of improvement.

• Asia pacific journal of information systems
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• 제32권3호
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• pp.514-536
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• 2022

Online reviews offer valuable information to businesses by reflecting consumer experiences about their products and services. Two crucial aspects of online reviews are the topics consumers choose to address, and the sentiments expressed in their reviews. Building upon previous literature that shows online reviews are context-dependent, we employ the Expectation-Confirmation Theory (ECT) to examine the impact of topic distribution on review sentiment in South Korea and the U.S. during pre- and post-pandemic periods. After applying a topic modeling to Airbnb app review data, we measure the contribution of each topic on review sentiment using SHAP values. Our results indicate variations in topic distribution trends between 2018 and 2021. In addition, the order and magnitude of topics' impact on review sentiment change between pre- and post-pandemic periods for both countries. This study can help businesses understand how topics and sentiments associated with their products and services changed after the pandemic and thus identify areas of improvement.

• 지능정보연구
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• 제17권3호
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• pp.115-130
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• 2011

온라인 스토어들은 다양한 방식으로 사용자들에게 신뢰감을 가져다 줄 수 있는 요인들을 제공하려고 한다. 대표적인 방식이 고객이 좋아할 만한 제품의 추천과 고객제품리뷰의 제공이다. 각각의 제공을 통해 신뢰의 선행요인이 되는 사회적 실재감을 향상시킬 수 있다는 연구들이 있어왔다. 따라서 본 연구에서는 추천 상황에 따른 사회적 실재감에 미치는 영향과 추천 상황과 제품군의 유형, 고객제품리뷰의 제공여부에 따라 사회적 실재감의 증가에 미치는 영향을 실험을 통해 분석하였다. 개인화 추천을 통해 사회적 실재감을 증대시킬 수 있었으며, 쾌락재에서는 고객제품리뷰의 제공을 통해 어떤 추천 상황에서든 사회적 실재감이 증대되나 유의한 차이를 보이지는 않았다.

• Asia pacific journal of information systems
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• 제18권3호
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• pp.67-90
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• 2008

Prior to making choices among online products and services, consumers often search online product reviews written by other consumers. Online product reviews have great influences on consumer behavior because they are believed to be more reliable than information provided by sellers. However, ever-increasing lists of product reviews make it difficult for consumers to find the right information efficiently. A customized search mechanism is a method to provide personalized information which fits the user's requirements. This study examines effects of a customized search mechanism and perceived similarity between consumers and product reviewers on consumer behaviors. More specifically, we address the following research questions: (1) Can a customized search mechanism increase perceived similarity between product review authors and readers? (2) Are product reviews perceived as more credible when product reviews were written by the authors perceived similar to them? (3) Does credibility of product reviews have a positive impact on acceptance of product reviews? (4) Does acceptance of product reviews have an influence on purchase intention of the readers? To examine these research questions, a lab experiment with a between-subject factor (whether a customized search mechanism is provided or not) design was employed. In order to enhance mundane realism and increase generalizability of the findings, the experiment sites were built based on a real online store, cherrya.com (http://www.cherrya.com/). Sixty participants were drawn from a pool that consisted of undergraduate and graduate students in a large university. Participation was voluntary; all the participants received 5,000 won to encourage their motivation and involvement in the experiment tasks. In addition, 15 participants, who selected by a random draw, received 30,000 won to actually purchase the product that he or she decided to buy during the experiment. Of the 60 participants, 25 were male and 35 were female. In examining the homogeneity between the two groups, the results of t-tests revealed no significant difference in gender, age, academic years, online shopping experience, and Internet usage. To test our research model, we completed tests of the measurement models and the structural models using PLS Graph version 3.00. The analysis confirmed individual item reliability, internal consistency, and discriminant validity of measurements. The results show that participants feel more credible when product reviews were written by the authors perceived similar to them, credibility of product reviews have a positive impact on acceptance of product reviews, and acceptance of product reviews have an influence on purchase intention of the readers. However, a customized search mechanism did not increase perceived similarity between product review authors and readers. The results imply that there is an urgent need to develop a better customized search tool in order to increase perceived similarity between product review authors and readers.

• 한국경영과학회지
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• 제32권2호
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• pp.53-69
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• 2007

Internet shopping websites have offered comfort to consumers in shopping and built trust relationships with them by providing electronic agents for recommendation, escrow services, and customer centers etc. But as there is little big difference among the shopping websites in terms of technical competence, website design, operational policy, they recognize online feedback (reviews or recommendation of consumers or experts) and online feedback mechanism as important marketing tools. Based on online feedback related studies, this study explores antecedents (consensus, vividness of reviews, interactions in review boards) of the perceived effectiveness of review boards which are text-based feedback mechanisms and its consequences such as trust, satisfaction, and intention to use. The results show that the perceived effectiveness of review boards is significantly affected by vividness of reviews and interactions in review boards, and the impact of interaction in review boards on the perceived effectiveness of review boards is stronger than that of vividness of reviews. The results also show that the perceived effectiveness of review boards has a significant influence on trust and satisfaction with the shopping websites, and intention to use is influenced by both trust and satisfaction.