• ETRI Journal
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• v.43 no.1
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• pp.95-108
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• 2021

Application (app) ratings are feedback provided voluntarily by users and serve as important evaluation criteria for apps. However, these ratings can often be biased owing to insufficient or missing votes. Additionally, significant differences have been observed between numeric ratings and user reviews. This study aims to predict the numeric ratings of Google apps using machine learning classifiers. It exploits numeric app ratings provided by users as training data and returns authentic mobile app ratings by analyzing user reviews. An ensemble learning model is proposed for this purpose that considers term frequency/inverse document frequency (TF/IDF) features. Three TF/IDF features, including unigrams, bigrams, and trigrams, were used. The dataset was scraped from the Google Play store, extracting data from 14 different app categories. Biased and unbiased user ratings were discriminated using TextBlob analysis to formulate the ground truth, from which the classifier prediction accuracy was then evaluated. The results demonstrate the high potential for machine learning-based classifiers to predict authentic numeric ratings based on actual user reviews.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.79-88
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• 2014

Vampilov, who is not well known as a playwright in domestic, is acknowledged comparable to Anton Chekhov in Russia. This paper was planed in order to promote a unsatisfied study until now in domestic for works by Vampilov and studied a part of composing play to put on the stage for , a drama written by Vampilov. This paper, originated from a viewpoint that actor have to complete the final text of the play for audiences to read depending on the drama and based on work features and characters of Vampilov, established an analysis scheme according to segments of unit actions for actions of Sarafanov, the character of the play, in order to achieve a purpose under suggested situation at the drama and focused on completing purposes per units individually. We have analyzed Sarafanov and his actions referring patterns and probabilities of the characters in the other works by Vampiov and regarded it as the important item together with logical basis of actions. Lyric and humanism emphasizing works by Vampilov, affected by Anton Chekhov and Nikolai Vasilevich Gogol, are acknowledged as realistic descriptions using contingency and a play within a play outstandingly and emphasized an importance of human relation. We have selected as a primary way to compose action text that audiences would read on the stage and used it as the method to design action of the characters in order to activate natural good of Sarafanov and general absurdities that human, does creative works, never give up purposes of ideal life.

• Phonetics and Speech Sciences
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• v.2 no.4
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• pp.39-49
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• 2010

The purpose of this paper is to examine how Chinese speakers realize Korean intonation phrase (IP) boundary tones in the reading of a Korean text. Korean IP boundary tones play various roles in speech communication. They indicate prosodic constituents' boundaries while simultaneously performing pragmatic and grammatical functions. In order to express and understand Korean utterances correctly, it is necessary to understand the Korean IP boundary tone system. To investigate the IP boundary tone produced by Chinese speakers, we have specifically examined the type of boundary tones, the degree of internal pitch modulation of boundary tones, and the pitch difference between penultimate syllables and boundary tones. The results of each analysis were compared to the IP boundary tones produced by Korean native speakers. The results show that IP boundary tones were realized higher than penultimate syllables.

• Proceedings of the Korea Database Society Conference
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• 1998.09a
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• pp.383-394
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• 1998

This article is an overview of the digital library project, indicating what roles Korea's diverse digital collections may play. Our digital library prototype has simple architecture, consisting of digital repositories, filters, indexing and searching, and clients. Digital repositories include various types of materials and databases. The role of filters is to recognize a format of a document collection and mark the structural components of each of its documents, We are using a database management system (ORACLE and ConText) supporting user-defined functions and access methods that allows us to easily incorporate new object analysis, structuring, and indexing technology into a repository.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.89-97
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• 2019

This study proposes a method for investigating current patents related to information communication technology and smart mobility to provide insights into future technology trends. The method is based on text mining clustering analysis. The method consists of two stages, which are data preparation and clustering analysis, respectively. In the first stage, tokenizing, filtering, stemming, and feature selection are implemented to transform the data into a usable format (structured data) and to extract useful information for the next stage. In the second stage, the structured data is partitioned into groups. The K-medoids algorithm is selected over the K-means algorithm for this analysis owing to its advantages in dealing with noise and outliers. The results of the analysis indicate that most current patents focus mainly on smart connectivity and smart guide systems, which play a major role in the development of smart mobility.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.157-161
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• 2022

The coffee industry continues to grow steadily due to the spread of coffee and changes in consumer awareness. Once upon a time, instant coffee was common, People today have distinct personal preferences As consumption needs for favorite foods are segmented, ways to enjoy coffee are diversifying. This study was conducted through analysis of consumption changes for specialty coffee as a changed issue of COVID-19 The goal is to present a vision for the future of the specialty coffee industry. As a research method, text mining through big data analysis was conducted to extract and analyze factors affecting the change in specialty coffee consumption. As a result of the study, we judged that specialty coffee is consumed by using a drip tool that allows you to easily enjoy coffee at home after Corona 19. Therefore, hand drips used in home cafes were found to play a central role in the change in specialty coffee consumption.

• English Language & Literature Teaching
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• v.11 no.2
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• pp.19-34
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• 2005

Hypertext raises question to general assumptions about our conventional conceptions of education. In this essay, three kinds of learning-models are presented by the application of "writing" hypertext literature to the English education of the elementary school. These models, which I call the "scene-centered" system, give knowledge to learners in non-linear, non-sequential structure. The term "scene" is a single concept or idea composed of a single sub-text, which is to be made by the group of students. This system is focused on the collaborative composition of students. Students, by generating sub-texts and connecting texts, perform the educational activities to expand the source text. The "scene-centered" system is, to put it into a Barte's term, a "writerly text." But in order to "write," "reading" should be accompanied. So, this system is a learning model in which writing and reading are carried on simultaneously. In all the process, students play a role of multi-user, with three access rights: read, write, and annotate. So, students making use of hypertext systems will act as reader-authors. And teachers will take the new role in collaborative writing environment. No longer the central authoritarian evaluator, they will become consultants, co-writers, coaches of their students.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.85-97
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• 2021

Online consumer activities have increased considerably since the COVID-19 outbreak. For the products and services which have an impact on everyday life, online reviews and recommendations can play a significant role in consumer decision-making processes. Thus, to better serve their customers, online firms are required to build online-centric marketing strategies. Especially, it is essential to define core value of customers based on the online customer reviews and to propose these values to their customers. This study discovers specific perceived values of customers in regard to a certain product and service, using online customer reviews and proposes a customer value proposition methodology which enables online firms to develop more effective marketing strategies. In order to discover customers value, the methodology employs a text-mining technology, which combines a sentiment analysis and topic modeling. By the methodology, customer emotions and value factors can be more clearly defined. It is expected that online firms can better identify value elements of their respective customers, provide appropriate value propositions, and thus gain sustainable competitive advantage.

• Journal of the Korean Society of Safety
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• v.37 no.3
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• pp.9-15
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• 2022

The analysis of the causes of accidents in workplaces where machines and tools are used is essential to improve the effectiveness and efficiency of safety prevention policies in places of employment in Korea. The causes of workplace accidents are not fully understood mainly due to difficulties in analyzing available descriptive information. This study focuses on the automated accident cause analysis in workplaces based on the accident abstracts found in industrial accident reports written in an unstructured descriptive format. The method proposed in this paper is based on text data mining and uses the keyword search function of Excel software to automate the analysis. The analysis results indicate that the primary reason for the frequency of accidents is related to technical aspects at a stage in which dangerous situations occur in the workplace. Accidents due to managerial causes are typically observed when danger exists in the workplace; however, managerial actions play a more important role in reducing accident severity. A small company tends to use unsafe machines and devices, leading to further accidents due to technical causes, whereas managerial causes are more conspicuous as the company grows. To preclude the occurrence of accidents due to inadequate knowledge, the implementation of safety management and the provision of safety education to elderly workers at the early stage of their employment are particularly important for small companies with less than 100 workers.

• The Journal of Korean Medical History
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• v.36 no.1
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• pp.143-154
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• 2023

This paper is a study that considers how current scientific medicine could be supported by traditional medicine, and if the scope of this support is expected to gradually widen. This study begins by understanding the process by which Traditional Chinese Medicine (TCM) has developed interventions for COVID-19. We then examine what support is offered by the ancient Korean medical text "Uibang Yuchi". This paper insists that a key database is absolutely necessary to develop treatment techniques for new diseases. The key database should be considered not only from the point of view of knowledge but also from the point of view of intellectual property rights, and for this reason, the text of "Uibang Yuchi" is important. This paper shows the process of how a new treatment technique can be derived from the ancient book "Uibang Yuchi". We expect that the suggested model would play a role as a reference model in the process of pursuing similar strategies in the future.