Comment Analysis for Product and Service Satisfaction From Thai Customers' Review in Social Network

Chumwatana, Todsanai

doi:10.32890/jict2018.17.2.8254

Cited by 4 publications

(6 citation statements)

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“…Definition 2: A frequency of aspect F a is a septuple with a frequency of each polarity opinion strength f s for aspect a as shown in Formula (1).…”

Section: Aspect-based Knowledge Representation and Selection Componentmentioning

confidence: 99%

“…For example, feedback about a camera from customers is the picture quality of this camera is great. These comments usually contain users' expressed words that play the major factor in assessing users' satisfaction [1]. Hence, these comments and feedback help not only the business to enhance a quality of products or services but also the customers to have feedback from others about the interesting products.…”

Section: Introductionmentioning

confidence: 99%

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Automatic Aspect-Based Sentiment Summarization for Visual, Structured, and Textual Summaries

2021

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Online reviews are valuable sources of information to help companies to make good decisions for business intelligence. In this study, we propose an Automatic Aspect-based Sentiment Summarization (AAbSS) system that has two components and can generate a summary as an output. The first component is the Aspect-based Knowledge Representation and Selection (AKRS) used to represent reviews based on aspects and their polarities for selecting aspect-based knowledge. To represent and selection knowledge, a set of frequency of polarity opinion strength, a summation of frequency of aspect, and an information of aspect are initiated. The second component is the Summary Format Generation (SFG) used to automatically generate three kinds of formats. In this component (SFG), new representations for visual and structured summaries, and a new way of applied natural language generation for a textual summary are proposed. In the experiments, 13 domains from benchmark datasets of customer reviews, e.g. cell phone, digital camera, etc. are used. The proposed system not only fast generates summaries having good performance when compared to other summaries generated by other systems and easily updated when adding new reviews in the same domain but also does not spend memory capacity to save any raw data.

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“…Definition 2: A frequency of aspect F a is a septuple with a frequency of each polarity opinion strength f s for aspect a as shown in Formula (1).…”

Section: Aspect-based Knowledge Representation and Selection Componentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automatic Aspect-Based Sentiment Summarization for Visual, Structured, and Textual Summaries

2021

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“…This connection is exemplified by the fact that every citizen can leave comments on various social media platforms (Ziegele et al, 2014), and liberated to express their opinions and attitudes regarding both public and sensitive issues due to the nature of online social spaces (see, Al-Zaman, 2021; Brochado et al, 2019;De Brún et al, 2014;King & McCashin, 2022;Towner, 2012). This phenomenon drives scholars to investigate the content, behavior, and patterns of citizens' comments on social media using comment analysis method (Chumwatana, 2018). Additionally, the analysis of comments constitutes a potentially interesting data source to mine for obtaining implicit knowledge about users, post, categories, community interests and to comprehend the generative deliberation potential of the emerging technology and its capacity to create a virtual public sphere (Ksiazek, 2015).…”

Section: Introductionmentioning

confidence: 99%

Comments Analysis on Social Media: A Review

Alafwan,

Siallagan,

Putro

2023

ICST Transactions on Scalable Information Systems

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As the number of people using and participating in social media grows, academics become interest in studying this new media, specifically comment analysis, in order to comprehend public opinion and user behavior. However, there are no studies that map the development of comment analysis domain, which would be valuable for future research. To address the issue, we examine prior publications using PRISMA approach, and offer suggestions for further research. An investigation was conducted to locate pertinent publications published in databases between 2010 and 2022. On the basis of our examination of 115 relevant articles, we found that, within the scope of methodology, prior researches employ two methods (sentiment and content analysis) and three tools (human, software, and mixed coders), and the majority of them concentrate on gathering data from western countries, covering numerous platforms and topics. Based on these findings, we recommend that future research in comment analysis should synthesize methods and instruments. In addition, examine areas that have not been fully explore in terms of platforms (e.g., Instagram and Tiktok), topic (e.g., local government), and regions (e.g., eastern countries) that would be valuable in order to enhance the body of knowledge in this domain.

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“…Fifty-two million of these users are in Thailand. Thailand is ranked in the world's top 10 highest social media users (Chumwatana, 2018). Thai users spend nearly 3 hours on social media daily.…”

Section: Introductionmentioning

confidence: 99%

Ethics, big social data, data sharing, and attitude among the millennial generation: A case of Thailand

Jantavongso

Fusiripong

2021

E J Info Sys Dev Countries

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Big social data and digital technologies create tremendous opportunities but raise questions and concerns on ethical data usage and sharing. Moreover, big social data plays a vital role in Thailand's 20-year national strategy to turn Thailand into a developed nation by 2037, especially on security and human capital development strategies. Nonetheless, the progress in big social data must go hand-in-hand with ethical standards. To date, there are no universal ethical criteria for big social data sharing and governance. This study investigates the ethical issues of big data in social media.It maps big social data to workable ethical theories. The model of big social data sharing factors was proposed. Using Thailand as a case study, the exploratory study examined the digital behaviors and moral perceptions of the millennials' big social data sharing through 71 in-depth interviews. The results revealed a strong pattern toward "ethical consequentialism" among the Thai millennials. Examining these findings fosters the formation of big social data ethics from the views of the data generators. This study has attempted to contribute to scholarship in the growing body of work on appropriate ethical guidelines for big social data sharing and help Thailand achieve its national strategy.

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Comment Analysis for Product and Service Satisfaction From Thai Customers' Review in Social Network

Cited by 4 publications

References 0 publications

Automatic Aspect-Based Sentiment Summarization for Visual, Structured, and Textual Summaries

Automatic Aspect-Based Sentiment Summarization for Visual, Structured, and Textual Summaries

Comments Analysis on Social Media: A Review

Ethics, big social data, data sharing, and attitude among the millennial generation: A case of Thailand

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