• Asia pacific journal of information systems
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• v.29 no.4
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• pp.615-643
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• 2019

Now is the time for IS scholars to demonstrate the added value of academic theory through its integration with text mining, clearly outline how to implement this for text mining experts outside of the academic field, and move towards establishing this integration as a standard practice. Therefore, in this study we develop a systematic theory-based text-mining framework (TTMF), and illustrate the use and benefits of TTMF by conducting a text-mining project in an actual business case evaluating and improving hotel service quality using a large volume of actual user-generated reviews. A total of 61,304 sentences extracted from actual customer reviews were successfully allocated to SERVQUAL dimensions, and the pragmatic validity of our model was tested by the OLS regression analysis results between the sentiment scores of each SERVQUAL dimension and customer satisfaction (star rates), and showed significant relationships. As a post-hoc analysis, the results of the co-occurrence analysis to define the root causes of positive and negative service quality perceptions and provide action plans to implement improvements were reported.

• Journal of Information Technology Applications and Management
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• v.30 no.2
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• pp.19-30
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• 2023

This study aims to analyze service improvement and success factors of electric scooter sharing service companies by using text mining after collecting reviews of shared electric scooter service applications among various models of sharing economy. In this study, the factors of satisfaction and dissatisfaction of service users were identified using the term frequency inverse document frequency (TF-IDF) technique, and topics for each keyword were extracted using the Latent Dirichlet Allocation (LDA) Topic Modeling technique. According to the analysis results, the main topics were entertainment, safety, service area, application complaints, use complaints, convenience, and mobility. Using the analysis results of this study, employees and researchers of electric scooter sharing service companies will be able to contribute to the improvement and success of related services.

• Journal of Korean Society of Rural Planning
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• v.24 no.1
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• pp.67-74
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• 2018

The rural areas are large residential space with fewer people than urban areas. That is why they are vulnerable to social services such as health care and security. This research analyzed the vulnerability of emergency relief service in rural village through text mining and the weighting value have been calculated. Based on the calculated statistics data, the police facilities are the most important, While the fire fighting and hospital facilities are important as well. In addition, the distance from the emergency relief service facility to the rural village was confirmed by using Open API. By combining these results, The vulnerable areas of the rural villages and the emergency relief service facilities were calculated and classified into 5 levels. For rural areas, the 1st class will have 33 places, following by 1,179 in 2nd class, 199 in 3rd class, 17 in 4th class and 8 in 5th class. Hence in order to further supplement the vulnerable areas to emergency relief service in villages, geographical relocation and policy approach of emergency relief service facilities are necessary.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.23-30
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• 2021

Due to the recent advancements of mobile telecommunication technology and high mobile phone penetration rate, researches on emergency text alert service for enhancing the accessibility have been actively conducted. The worldwide spread of COVID-19 further accelerates the efforts for the alert services. Existing emergency text services are simple and efficient. However, unclear reception area may cause unintended alert messages frequently. In this paper, we analyze survey results regarding the 5G-based text-alert services to derive service requirements for technological advancement. Then we propose an emergency disaster text service scenario using Active Geo-Targeting that enables active disaster text reception of terminals. In addition, we newly define an interface protocol that is CIB(Control Information Block) to operate the proposed scenario.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.131-137
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• 2018

People write reviews of numerous products or services on the Internet, in their blogs or community bulletin boards. These unstructured data contain important emotions and opinions about the author's product or service, which can provide important information for future product design or marketing. However, this text-based information cannot be evaluated quantitatively, and thus they are difficult to apply to mathematical models or optimization problems for product design and improvement. Therefore, this study proposes a method to quantitatively extract user's opinion or preference about a specific product or service by utilizing a lot of text-based information existing on the Internet or online. The extracted unstructured text information is decomposed into basic unit words, and positive rate is evaluated by using existing emotional dictionaries and additional lists proposed in this study. This can be a way to effectively utilize unstructured text data, which is being generated and stored in vast quantities, in product or service design. Finally, to verify the effectiveness of the proposed method, a case study was conducted using movie review data retrieved from a portal website. By comparing the positive rates calculated by the proposed framework with user ratings for movies, a guideline on text mining based evaluation of unstructured data is provided.

• Journal of The Korean Association For Science Education
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• v.11 no.1
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• pp.97-115
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• 1991

The purpose of this study is in making a important way for in-service training of science teacthers. So the study was carried out to analyze the text books of in-service training school in Gyeongnam, Kyungpook, Junpook province and Pusan city and to survey teacher's opinion by questonnaires collected from teachers in Gyeongnam province. The result abtained are as follows : 1. The contents of. tire text books for in-service training course have very critical defference at each province. 2. Most of teachers wanted to get more updating information of the science and more comprehensive knowledge of higher level' of science subject. 3. In order to obtain comprehensive basic concept, develop of inquiry ability, and promote of scientific attitude, the thinking experiment which is selected to experimental subjects of secondary school are need to be selected. 4. The new text-book model for in-service training course should be developed, and the finnancial support will be required to develop such a text.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.509-517
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• 2023

The reactive web service provides a related word recommendation system using the TextRank algorithm and a word-based idea generation service selected by the user. In the related word recommendation system, the method of weighting each word using the TextRank algorithm and the probability output method using SoftMax are discussed. The idea generation service discusses the idea generation method and the artificial intelligence reinforce-learning method using mini-GPT. The reactive web discusses the linkage process between React, Spring Boot, and Flask, and describes the overall operation method. When the user enters the desired topic, it provides the associated word. The user constructs a mind map by selecting a related word or adding a desired word. When a user selects a word to combine from a constructed mind-map, it provides newly generated ideas and related patents. This web service can share generated ideas with other users, and improves artificial intelligence by receiving user feedback as a horoscope.

• Speech Sciences
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• v.14 no.4
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• pp.169-178
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• 2007

This thesis describes the development of a service system for small-sized shops which support not only music broadcasting, but editing and generating voice announcement using the TTS(Text-To-Speech) technology. The system has been developed based on web environments with an easy access whenever and wherever it is needed. The system is able to control the sound using silverlight media player based on the ASP .NET 2.0 technology without any additional application software. Use of the Ajax control allows for multiple users to get the maximum load when needed. TTS is built in the server side so that the service can be provided without user's computer. Due to convenience and usefulness of the system, the business sector can provide better service to many shops. Further additional functions such as statistical analysis will undoubtedly help shop management provide desirable services.

• The Journal of Information Systems
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• v.26 no.4
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• pp.327-353
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• 2017

Purpose Social media such as social network services, online forums, and customer reviews have produced a plethora amount of information online. Yet, the information deluge has created both opportunities and challenges at the same time. This research particularly focuses on the challenges in order to discover and track the service defects over time derived by mining publicly available online customer reviews. Design/methodology/approach Synthesizing the streams of research from text analytics, we apply two stages of methods of sentiment analysis and structural topic model incorporating meta-information buried in review texts into the topics. Findings As a result, our study reveals that the research framework effectively leverages textual information to detect, prioritize, and categorize service defects by considering the moving trend over time. Our approach also highlights several implications theoretically and practically of how methods in computational linguistics can offer enriched insights by leveraging the online medium.

• The Journal of Information Systems
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• v.32 no.3
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• pp.63-83
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• 2023

Purpose With the continuous growth of the OTT services market, trust issues are becoming increasingly important, but research on this topic is still in its infancy. The purpose of this study is to identify the structural relationship between information system quality and reuse intention of OTT services and to analyze the impact of trust and user satisfaction. Design/methodology/approach This study proposed a research model based on the information system success model. In this study, a survey was conducted among 236 Korean users who have used OTT services within the last six months. Findings The results of the analysis showed that text quality and visual quality had a significant impact on trust in OTT services, with text quality having the largest impact. System quality and text quality also had a significant impact on trust in OTT service providers. However, visual quality did not have a statistically significant effect on trust in the service provider. Trust in the OTT service and the service provider was analyzed to have a significant impact on user satisfaction. However, it did not have a statistically significant impact on reuse intention. These findings have important implications for improving trust in OTT services to increase users' reuse intentions. It is also expected to contribute to further expanding the field of OTT service research.