• Journal of the Korea Fashion and Costume Design Association
• /
• v.6 no.2
• /
• pp.77-87
• /
• 2004

The purpose of this study was to analize the types of symbol concretely, one of a constituent elements of brand, using in Apparel Brands and to examine the meaning of symbol in the internet site of each brand and to evaluate the symbols in the aesthetic dimension and to suggest a basic data of the branding strategy for marketers. For this purpose, 41 Apparel Brands were selected from fashion magazine and the types of symbol used in the Apparel Brands were classified into three types. According to the formative characters of symbol, there were word symbol, descriptive symbol and abstractive symbol. The results of the study were following: the order was the descriptive symbol, word symbol, and abstractive symbol. The percentages of using symbols were descriptive symbol(61%), word symbol(29%), and abstractive symbol(l0%). The Apparel Brands used the most frequently the descriptive symbol that represents or symbolizes a concrete object to represent the image of brand. The abstractive symbol that use a graphic style or geometrical form to deliver the character of brand was used lowest. From this results, we could find that the descriptive symbol was used to deliver/notify the character or image of company's own brand easy and quickly to consumers in symbolic meaning making use of a concrete object such as a animal, plant, specific object or fictitious person, etc than word or abstractive symbol.

• Journal of KIISE:Computing Practices and Letters
• /
• v.16 no.12
• /
• pp.1254-1258
• /
• 2010

In information retrieval, different surface forms of the same object can cause poor performance of systems. In this paper, we propose the method extracting alternative words using translation words as features of each word extracted from parallel corpus, korean/english title pair of patent information. Also, we propose an association word filtering method to remove association words from an alternative word list. Evaluation results show that the proposed method outperforms other alternative word extraction methods.

• The Journal of the Korea Contents Association
• /
• v.16 no.10
• /
• pp.687-692
• /
• 2016

Conventional way to search documents is keyword-based queries using vector space model, like tf-idf. Searching process of documents which is based on keywords can make some problems. it cannot recogize the difference of lexically different but semantically same words. This paper studies a scheme of document search based on document queries. In particular, it uses centrality vectors, instead of tf-idf vectors, to represent query documents, combined with the Word2vec method to capture the semantic similarity in contained words. This scheme improves the performance of document search and provides a way to find documents not only lexically, but semantically close to a query document.

• Journal of The Korean Association of Information Education
• /
• v.5 no.2
• /
• pp.185-196
• /
• 2001

Elementary school students feel more difficult the mathematical word problems than the numberical formula. I think that this reason isn't the ability of mathematical calculation but the problems representation. It is demanded exactly understanding about the requirements of problem for improving ability of the mathematical word problem representation. It is necessary that we take multimedia data and communication for this, because web advances multimedia materialization and promotes mutual communication, then it gives us with the most environment for word problem representation learning. According to, this thesis is designed web-based system to improve ability of the mathematical word problem representation, applied the sixth grade it experimentally.

• The Journal of the Korea Contents Association
• /
• v.5 no.3
• /
• pp.19-28
• /
• 2005

It is true that internet provides consumers with an efficient way to search information with minimal effort and cost, which facilitates better decision making. Especially, previous studies revealed that the online word-of-mouth marketing is widely used as a source of consumers' information seeking and purchase decision making. Even with this importance of the online word-of-mouth communication on internet few researches have systematically addressed the issue. This study investigates the effect of consumers' motives on perceived usefulness of word-of-mouth marketing in online shopping mall contents. The results are as follows: First, choice uncertainty, perceived sacrifice, and social pressure play an important role for perceived usefulness of word-of-mouth marketing. Second, perceived usefulness has directly affected consumers' quality perception. Thus, it is essential for internet companies to find ways to encourage their customers to engage in word-of-mouth communication on their websites.

• The Journal of the Korea Contents Association
• /
• v.19 no.10
• /
• pp.620-629
• /
• 2019

An automated minutes summary system is required to objectively summarize and classify the contents of discussions or discussions for decision making. This paper designs and implements a minutes summary system using word2vec model to complement the existing minutes summary system. The proposed system is further implemented with word2vec model to remove index words during morpheme analysis and to extract representative sentences with common opinions from documents. The proposed system automatically classifies documents collected during the meeting process and extracts representative sentences representing the agenda among various opinions. The conference host can quickly identify and manage all the agendas discussed at the meeting through the proposal system. The proposed system analyzes various agendas of large-scale debates or discussions and summarizes sentences that can be representative opinions to support fast and accurate decision making.

• The Journal of the Korea Contents Association
• /
• v.20 no.12
• /
• pp.36-48
• /
• 2020

App market has continuously been growth since its launch. The market revenues will reach about 1,000 billion US dollars in 2019. App is a core service for smartphone. Currently, there are more than 1.5 million mobile apps in App platform calling out for attention. So, if you are looking at developing a successful app, you need to have a solid marketing and distribution strategy. Online word of mouth(eWOM) is one of the most effective, powerful App marketing method. eWOM affect potential consumers' decision making, and this effect can spread rapidly through online social network. Despite the increasing research on word of mouth, only few studies have focused on content analysis. Most of studies focused on the causes and acceptance of eWOM and eWOM performance measurement. This study aims to content analysis of mobile apps review In 2013, Google researchers announced Word2Vec. This method has overcome the weakness of previous studies. This is faster and more accurate than traditional methods. This study found out the relationship between mobile app reviews and checked for reactions by Word2vec.

• The Research Journal of the Costume Culture
• /
• v.6 no.3
• /
• pp.6-10
• /
• 1998

The purpose of this study was to identify and to trace origins of the names of boshon(보션) and Chung(쳥) used in Chosun period. Comparative linguistic analytical approaches were employed for this research. Conclusions and summary of finds and results of this study can be summarized as follows: It was found that the name, boshon had its origin in Aramaic, while the name, chung had its origin in Chinese. The word, boshon (보션) is a transliteration of Aramaic pattashehon, leggins. The name, boshon is a borrowed word from Aramaic. The word, bai shu(背戍) of Koryo period and the word, boshon(보션) of Chosun period were originated in one word, ai shu was taken from a singular form, while boshon was taken from a plural form. Because these two words in Koran have different phonetic values, ′they ar treated as tow different words. The name, chung(쳥) is a transliteration of Chinese cheuan, ch′"uan, Korean chung is a corrupted form of cheunan or ch′"uan.

• Proceedings of the KSPS conference
• /
• 2003.05a
• /
• pp.61-68
• /
• 2003

This experimental research shows that, in reading of the English isolated words that are enumerated, the releasing of the word-final stop is employed for signaling enumeration in company with the well-known intonational pattern for it. Furthermore, this study tries to find the conceivable phonetic correlates of the releasing of the stop in word-final position, focusing on the association of the stop releasing/nonreleasing with i) the POA (Place of Articulation) distinction of the word-final stop, ii) the various qualities of the preceding vowel placed before the final stop, and iii) the voice distinction of the stop in the word-final position.

• The Journal of Information Systems
• /
• v.30 no.2
• /
• pp.57-78
• /
• 2021

Purpose In this study, first, we try to make embedding results that reflect the characteristics of both professional and general documents. In addition, when disparate documents are put together as learning materials for natural language processing, we try to propose a method that can measure the degree of reflection of the characteristics of individual domains in a quantitative way. Approach For this study, the Korean Supreme Court Precedent documents and Korean Wikipedia are selected as specialized documents and general documents respectively. After extracting the most similar word pairs and similarities of unique words observed only in the specialized documents, we observed how those values were changed in the process of embedding with general documents. Findings According to the measurement methods proposed in this study, it was confirmed that the degree of specificity of specialized documents was relaxed in the process of combining with general documents, and that the degree of dissolution could have a positive correlation with the size of general documents.