• Title/Summary/Keyword: online reviews

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Sentiment Analysis and Network Analysis based on Review Text (리뷰 텍스트 기반 감성 분석과 네트워크 분석에 관한 연구)

  • Kim, Yumi;Heo, Go Eun
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.3
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    • pp.397-417
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    • 2021
  • As review text contains the experience and opinions of the customers, analyzing review text helps to understand the subject. Existing studies either only used sentiment analysis on online restaurant reviews to identify the customers' assessment on different features of the restaurant or network analysis to figure out the customers' preference. In this study, we conducted both sentiment analysis and network analysis on the review text of the restaurants with high star ratings and those with low star ratings. We compared the review text of the two groups to distinguish the difference of the two and identify what makes great restaurants great.

Antecedents to Consumer Satisfaction with Laundry Detergents and Fabric Softeners in Thailand: A SEM Analysis

  • CHEEWAPATTANANUKUL, Nawin;SAENGNOREE, Amnuay;DEEBHIJARN, Samart
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.8
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    • pp.157-167
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    • 2022
  • The global laundry detergents market in 2021 was valued at nearly $121 billion, with consumers being reported as heightening their search for hygienic products capable of fighting viruses. Therefore, the researchers undertook a study to determine how product innovation (PI), product quality (PQ), and product attitude (PA) effects Thai consumers' satisfaction (CS) with their purchase of laundry detergent and fabric softener. After the questionnaire's validity and reliability confirmation, the authors used multi-stage random sampling by region and province in January and February 2022 to collect 520 questionnaires. LISREL 9.10 was used in the CFA and SEM analysis of the six hypotheses, which were determined to be supported. The results showed that all three causal variables positively influenced CS, with a total effect (TE) R2 value = 87%. Also, latent variable total effect (TE) values showed that PI was strongest (0.93), then PQ (0.56), and finally, PA (0.54). Therefore, consumer satisfaction is essential in a firm's ongoing development and sustainability in a highly competitive, globalized world. Organizations must develop competitive strategies that adjust to consumer needs. Management must monitor online and social media sources where product reviews are given and adjust their strategies accordingly.

The review of international forum on magnetic force control IFMFC activity from 2010

  • Watanabe, Tsuneo
    • Progress in Superconductivity and Cryogenics
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    • v.24 no.3
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    • pp.1-6
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    • 2022
  • The Magnetic Force Control MFC technology is very useful because of its physical treatment process. Especially the Magnetic Separation MS technology is expected to contribute to SDGs 2030, Circular Economy and Carbon neutral 2050 realization. This paper describes the review of the IFMFC activity from 2010.The IFMFC is organized by three local committees of researchers in Japan, China and Korea. The IFMFC aims to exchange the information of the development results using the MFC technology and to educate the young researchers. The forum has been held in every year around three countries. In 2020 and 2021, the forum was organized by Zoom online due to the COVID-19. The 134 presentations were made up to 2020.The breakdown of these presentations are categorized to the environment remediation52%, material resource37% and fundamental research/technology11%. The Super Conducting Magnet SCM development promotes the MFC technologies. There are some impressive backgrounds as to the brilliant SM technology applications for many different magnetism ; SCM development, High Gradient Magnetic Separation HGMS, magnetic seeding method and magneto-Archimedes effect. This paper reviews the IFMFC activity according to those presented presentations.

The Marketing Strategy of K-Beauty Product to Enhance Economic Growth in South Korea

  • SEON, Suk-Hyun
    • The Journal of Industrial Distribution & Business
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    • v.13 no.8
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    • pp.9-18
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    • 2022
  • Purpose: K-beauty products industry trends, estimates and dynamics are examined in this study to discover a potential possibility for growth. There is a thorough examination of the elements that drive and impede the expansion of the K-beauty industry. This study aims to investigate marketing strategy of K beauty product to enhance economic growth in South Korea. Research design, data and methodology: This study used one of the most famous approach for analyzing the current literature which is a PRISMA (Process and Systematic Reviews and Meta-Analyses) method. This method maps out the number of records identified, the included and the excluded ones with the reasons for the exclusion. The technique clearly states the research problem and the appropriate scope. Results: The theoretical findings of prior literature indicates K-beauty companies should retain physical locations despite the trend toward online commerce, in order to guarantee that they meet the demands of different customers and enhance customer experiences to develop trust and loyalty. Conclusions: The findings of this research are of academic importance since they provide light on customer preferences for new K-beauty products. While past research has often ignored certain kinds of influencers, this study emphasized the need of considering influencers and certain product exposure strategies together, which has major academic consequences.

Deterioration of Mental Health in Children and Adolescents During the COVID-19 Pandemic

  • Eunkyung Jo;Kyoil Seo;Boram Nam;Deokyong Shin;Seohyun Kim;Youngil Jeong;Aeju Kim;Yeni Kim
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.34 no.1
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    • pp.21-29
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    • 2023
  • This paper reviews the global effect of the coronavirus disease 2019 (COVID-19) pandemic on the mental health of children and adolescents in South Korea, the U.S., Japan, and China. We reviewed research on deteriorated mental health, including increased suicide, suicidal thoughts, and self-harm. Various studies have shown that students' mental health issues, such as depression and anxiety, have worsened during the COVID-19 pandemic. Furthermore, the number of students who committed suicide has significantly increased in the U.S. and Japan. Factors such as prior mental health status, change in daily routine, reduced physical activity, excessive screen time, overuse of electronic devices, and reduced social support have been reported to have a significant effect. The chain of deteriorating mental health among the youth began at the onset of COVID-19, social distancing, and school closure. As youths began to stay at home instead of going to school, they lost opportunities to connect with their friends or teachers, who could provide support outside of their homes. Young people spent less time on physical activity and more time online, which damaged their sleeping schedule and daily routine. In preparing for the post-pandemic phase, we should thoroughly analyze the long-term effects of the pandemic on youth mental health, while simultaneously tackling current imminent issues.

Phrase-Chunk Level Hierarchical Attention Networks for Arabic Sentiment Analysis

  • Abdelmawgoud M. Meabed;Sherif Mahdy Abdou;Mervat Hassan Gheith
    • International Journal of Computer Science & Network Security
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    • v.23 no.9
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    • pp.120-128
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    • 2023
  • In this work, we have presented ATSA, a hierarchical attention deep learning model for Arabic sentiment analysis. ATSA was proposed by addressing several challenges and limitations that arise when applying the classical models to perform opinion mining in Arabic. Arabic-specific challenges including the morphological complexity and language sparsity were addressed by modeling semantic composition at the Arabic morphological analysis after performing tokenization. ATSA proposed to perform phrase-chunks sentiment embedding to provide a broader set of features that cover syntactic, semantic, and sentiment information. We used phrase structure parser to generate syntactic parse trees that are used as a reference for ATSA. This allowed modeling semantic and sentiment composition following the natural order in which words and phrase-chunks are combined in a sentence. The proposed model was evaluated on three Arabic corpora that correspond to different genres (newswire, online comments, and tweets) and different writing styles (MSA and dialectal Arabic). Experiments showed that each of the proposed contributions in ATSA was able to achieve significant improvement. The combination of all contributions, which makes up for the complete ATSA model, was able to improve the classification accuracy by 3% and 2% on Tweets and Hotel reviews datasets, respectively, compared to the existing models.

The Sizing Communications of Menswear on Retail Websites (온라인 쇼핑 사이트의 성인 남성복 제품 사이즈 정보 실태 분석)

  • Jaehyun Park;Ah Lam Lee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.47 no.1
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    • pp.73-84
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    • 2023
  • This study aims to identify the current sizing communication issues of menswear on retail websites and to suggest an effective size information presentation method. Based on sales frequency and awareness in the Korean menswear market, 22 brand websites were selected, and size-related information was investigated using 7 types of representative apparel items. The current diverse types of size codes had limitations in delivering actual product size information. Many websites preferred to display garment dimensions rather than basic body measurements, which is the suggested size designation method in Korean Standard. The websites posted fit model photos and customer reviews. However, the body size specifications, which consumers can use as a useful reference, were often omitted. There was also a high uncertainty in product size selection, with only the basic body measurement information listed, and there was a high deviation of garment dimensions within the same basic body measurements. The product size distribution did not match actual Korean body types. Based on the findings, we suggested improved effective sizing communication methods. These methods will contribute to a better online shopping environment for both consumers and retail sellers.

A Study on Interest Issues Using Social Media New (소셜미디어 뉴스를 이용한 관심 이슈 연구)

  • Kwak, Noh Young;Lee, Moon Bong
    • The Journal of Information Systems
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    • v.32 no.2
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    • pp.177-190
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    • 2023
  • Purpose Recently, as a new business marketing tool, short form content focused on fun and interest has been shared as hashtags. By extracting positive and negative keywords from media audiences through comment analysis of social media news, various stakeholders aim to quickly and easily grasp users' opinions on major news. Design/methodology/approach YouTube videos were searched using the YouTube Data API and the results were collected. Video comments were crawled and implemented as HTML elements, and the collection results were checked on the web page. The collected data consisted of video thumbnails, titles, contents, and comments. Comments were word tokenized with the R program, comparing positive and negative dictionaries, and then quantifying polarity. In addition, social network analysis was conducted using divided positive and negative comments, and the results of centrality analysis and visualization were confirmed. Findings Social media users' opinions on issue news were confirmed by analyzing and visualizing the centrality of keywords through social network analysis by dividing comments into positive and negative. As a result of the analysis, it was found that negative objective reviews had the highest effect on information usefulness. In this way, previous studies have been reaffirmed that online negative information has a strong effect on personal decision-making. Corporate marketers will analyze user comments on social network services (SNS) to detect negative opinions about products or corporate images, which will serve as an opportunity to satisfy customers' needs.

Gift-giving Behaviors via SNS Mobile App: An Exploratory Study of Fashion Products

  • Ji Yoon Kim;Jiyeon Lee;Kyu-Hye Lee
    • Journal of Fashion Business
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    • v.27 no.6
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    • pp.110-123
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    • 2023
  • As social distancing strengthened after the COVID-19 incident, people looked for things they could do alone. Additionally, as people have more financial resources, they purchase products they had previously considered purchasing, and the phenomenon of giving gifts to oneself has also appeared. Accordingly, this study analyzed fashion product reviews of KakaoTalk Gift, the service to exchange gift via SNS mobile app, to discover the phenomenon of self-gifting and the differences from interpersonal-gifting. For post-hoc data, in collected 18,354 pieces after excluding unnecessary data using a Python-based web crawling technique. The self-gifting behavior of KakaoTalk Gift different from the previous study for self-gift. Regardless of the gift-giving contexts, it determines that most self-gift products are material items. There are differences in product types and price levels when choosing gifts for others and oneself. As a self-gift, people typically buy luxury jewelry and branded bags/wallets to wear and show off. As interpersonal, among fashion products, people usually buy beauty products that reflect less personal tastes. When gift-giving to others, people buy products to appropriate prices to reduce the burden on both. When gift-giving to oneself, people buy wanted products regardless of the price. This study is significant because it suggests a new direction in self-gift research by limited online places to give gifts.

Exploring Barriers Affecting e-Health Service Continuance Intention in India: From the Innovation Resistance Theory Stance

  • Arghya Ray;Pradip Kumar Bala;Yogesh K. Dwivedi
    • Asia pacific journal of information systems
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    • v.32 no.4
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    • pp.890-915
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    • 2022
  • Although existing studies on e-health have usually focused on e-health services adoption intention, there is a dearth of studies on the barriers that affect e-health services retention intention especially in India. Additionally, although studies have mostly focused on utilizing expectation-confirmation model to understand innovation related barriers, innovation resistance theory (IRT) has been overlooked. As Indian e-health service providers face stiff challenges due to customer's unwillingness to continue using the service, there is a need to bridge the research gap that exists in this context. This mixed-method study, based on responses received from 289 participants and 1154 online negative reviews from e-Health providers in India, examines the barriers from the IRT stance. Results of this study reveal a notable negative association between tradition, value and financial barrier and intention to continue using e-health services. Additionally, continuance intention affects recommendation. The study concludes with various implications and scope for future research.