• Title/Summary/Keyword: Text comparing

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A Comparative Study of Figure Skating Commentary on NBCSN and MBC's Coverage of 2018 Olympic Games (NBCSN과 MBC의 평창동계올림픽 피겨 스케이팅 해설에 대한 비교분석: 피겨 스케이팅 중계방송 해설의 개선방안에 대하여)

  • Song, Yung-Joo;Kim, Hana
    • The Journal of the Korea Contents Association
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    • v.22 no.8
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    • pp.94-105
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    • 2022
  • The purpose of this study is to suggest improvement plan for a commentary on figure skating in Korea from comparing to NBCSN and MBC's coverage of the 2018 Pyungchang Olympic Games employing both of quantitative and text analysis. Results indicate that NBCSN and MBC's commentary on figure skating have definitely different characteristics in terms of expertise and dramatizing ability. The commentator of MBC frequently used monotonous and repetitive emotional expression and provided incoherent information in very automatic way. Whereas, NBCSN's comments expressed very diverse way on introduction of players, explanation of technique and evaluation, especially on dramatizing ability to contextualize combining players' performance and background information.

Discoveries, Voiceovers, and Greek Poetry: the Colonization of Lands, Languages, and Literatures in James Joyce's Ulysses and Anne Carson's Autobiography of Red

  • Omnus, Wiebke
    • Journal of English Language & Literature
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    • v.56 no.6
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    • pp.1027-1045
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    • 2010
  • What does an Irish modernist have in common with a contemporary Canadian classicist? The present paper attempts an unlikely comparison to bring out previously unnoticed facets of meaning by analyzing James Joyce's Ulysses (1922) and Anne Carson's Autobiography of Red: A Novel in Verse (1998) together. While Joyce and Carson write at different times and in different places, I suggest that they are also remarkably similar. First, both of these authors can be said to have re-invented the genre of the novel in the two aforementioned works. Second, they both set themselves the task of re-writing a Greek text, in Joyce's case Homer's Odyssey, in Carson's case Stesichoros's Geryoneis, transferring it to their own present reality. The focus of the article is to read Ulysses and Autobiography of Red together in light of their engagement with colonialism. This concept is central to both novels, as literary critics have noted. However, rather than examining the concept in the traditional sense, I use it as a platform to examine the roles that sociolinguistic colonialism, and what I call literary colonialism, play in these two innovative and groundbreaking novels. Finally, I analyze the ways in which these authors position themselves against the tradition. Comparing works by Carson and Joyce allows me to arrive at conclusions that transcend their time and apply to humanity in general.

Perception and Trend Differences between Korea, China, and the US on Vegan Fashion -Using Big Data Analytics- (빅데이터를 이용한 비건 패션 쟁점의 분석 -한국, 중국, 미국을 중심으로-)

  • Jiwoon Jeong;Sojung Yun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.47 no.5
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    • pp.804-821
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    • 2023
  • This study examines current trends and perceptions of veganism and vegan fashion in Korea, China, and the United States. Using big data tools Textom and Ucinet, we conducted cluster analysis between keywords. Further, frequency analysis using keyword extraction and CONCOR analysis obtained the following results. First, the nations' perceptions of veganism and vegan fashion differ significantly. Korea and the United States generally share a similar understanding of vegan fashion. Second, the industrial structures, such as products and businesses, impacted how Korea perceived veganism. Third, owing to its ongoing sociopolitical tensions, the United States views veganism as an ethical consumption method that ties into activism. In contrast, China views veganism as a healthy diet rather than a lifestyle and associates it with Buddhist vegetarianism. This perception is because of their religious history and culinary culture. Fundamentally, this study is meaningful for using big data to extract keywords related to vegan fashion in Korea, China, and the United States. This study deepens our understanding of vegan fashion by comparing perceptions across nations.

The Study of Comparing Korean Consumers' Attitudes Toward Spotify and MelOn: Using Semantic Network Analysis

  • Namjae Cho;Bao Chen Liu;Giseob Yu
    • Journal of Information Technology Applications and Management
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    • v.30 no.5
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    • pp.1-19
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    • 2023
  • This study examines Korean users' attitudes and emotions toward Melon and Spotify, which lead the music streaming market. We used Text Mining, Semantic Network Analysis, TF-IDF, Centrality, CONCOR, and Word2Vec analysis. As a result of the study, MelOn was used in a user's daily life. Based on Melon's advantages of providing various contents, the advantage is judged to have considerable competitiveness beyond the limits of the streaming app. However, the MelOn users had negative emotions such as anger, repulsion, and pressure. On the contrary, in the case of Spotify, users were highly interested in the music content. In particular, interest in foreign music was high, and users were also interested in stock investment. In addition, positive emotions such as interest and pleasure were higher than MelOn users, which could be interpreted as providing attractive services to Korean users. While previous studies have mainly focused on technical or personal factors, this study focuses on consumer reactions (online reviews) according to corporate strategies, and this point is the differentiation from others.

A Study on Character Consistency Generated in [Midjourney V6] Technology

  • Xi Chen;Jeanhun Chung
    • International journal of advanced smart convergence
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    • v.13 no.2
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    • pp.142-147
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    • 2024
  • The emergence of programs like Midjourney, particularly known for its text-to-image capability, has significantly impacted design and creative industries. Midjourney continually updates its database and algorithms to enhance user experience, with a focus on character consistency. This paper's examination of the latest V6 version of Midjourney reveals notable advancements in its characteristics and design principles, especially in the realm of character generation. By comparing V6 with its predecessors, this study underscores the significant strides made in ensuring consistent character portrayal across different plots and timelines.Such improvements in AI-driven character consistency are pivotal for storytelling. They ensure coherent and reliable character representation, which is essential for narrative clarity, emotional resonance, and overall effectiveness. This coherence supports a more immersive and engaging storytelling experience, fostering deeper audience connection and enhancing creative expression.The findings of this study encourage further exploration of Midjourney's capabilities for artistic innovation. By leveraging its advanced character consistency, creators can push the boundaries of storytelling, leading to new and exciting developments in the fusion of technology and art.

Burning measure for burning mouth syndrome: a systematic review

  • Sunny Priyatham Tirupathi;Sardhar Malothu;Udaikiran Allaparthi;Swathi Velvaluri;Lamea Afnan;Shraddha Budia;Muskaan Sachdev
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.50 no.2
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    • pp.63-69
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    • 2024
  • This current systematic review aimed to evaluate the current evidence on the effect of topical capsaicin application to alleviate symptoms related to burning mouth syndrome (BMS). PubMed, Ovid SP, and Cochrane were searched from 1980 to 2022 to identify relevant literature. A total of 942 titles (PubMed, 84; Ovid SP, 839; Cochrane, 19) was retrieved, of which 936 were excluded based on the title and abstract. A total of 11 studies were further evaluated for full text analysis, of which 7 were excluded. As a result, 4 articles were included for qualitative synthesis of data. Capsaicin as a mouthwash can have potential application in the treatment of symptoms related to burning mouth. The quality of available studies is moderate to low, and a well-designed randomized multicentric study comparing capsaicin with other active agents is planned to obtain more definitive conclusions.

A problem of authenticity in the chapter 'Confucius became aged, and liked "The Book of Changes"' of yao 要, "essentials," seen throughout 『帛書周易』 the Mawangdui Boshu Zhouyi Manuscript. -in relation to Confucius and 『易』"The Changes"- (『백서주역(帛書周易)』 「요(要)」의 '부자노이호역(夫子老而好易)'장의 진위(眞僞) 문제 -공자와 『역』의 관계를 중심으로-)

  • Kim, Sang-sup
    • Journal of Korean Philosophical Society
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    • v.129
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    • pp.1-22
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    • 2014
  • Columns 12-18 record a conversation between an aged Confucius and his disciple Zi Gong concerning the Changes and especially the role of divination in its use. The last section, from the bottom of column 24, concerns the hexagrams Sun損, "Decrease," and Yi益, "Increase," which Confucius is here made to regard as the culmination of wisdom in the Zhouyi. The conversation between Confucius and Zi Gong, and especially Zi Gong's apparent misunderstanding of Confucius's interest in the text, has already attracted considerable scholarly interest. Zi Gong criticizes Confucius for changing his teaching about the importance of the Zhouyi and for performing divinations. Confucius responds that while he does indeed perform divinations. there is a major difference between his use of the text and that of others: he regards the I Ching as a repository of an ancient wisdom. This would seem to signal recognition of a dramatic change in the function and status of the text. Zi Gong said: "Does the Master also believe in milfoil divination?" The Master said: "I am right in only seventy out of one hundred prognostications. Even with the prognostications of Liangshan of Zhou one necessarily follows it most of the time and no more." The Master said: "As for the Changes, I do indeed put its prayers and divinations last, only observing its virtue and property. Intuiting the commendations to reach the number, and understanding the number to reach virtue, is to have humaneness and to put it into motion properly. If the commendation do not lead to the number, then merely acts as a magician; if the number does not lead to virtue, then one merely acts as a scribe. The divinations of scribes and magicians tend toward it but are not yet there; delight in it but are not correct. Perhaps it will be because of the Changes that sires of later generations will doubt me. I seek its virtue and nothing more. I am on the same road as the scribes and magicians but end up differently. The conduct of the gentleman's virtue is to seek blessings; that is why he sacrifices, but little; the righteousness of his humaneness is to seek auspiciousness; that is why he divines, but rarely. Do not the divinations of priest and magicians come last!" Although Confucius says two ways of the symbolic numbers and virtue-property, he emphasizes his way of virtue and property more important. In fact he who wrote in Yao 要, "essentials," Confucius's saying describes his own viewpoints of the Changes throughout the conversations between Confucius and his disciple Zi Gong, and is only to borrow the name of Confucius. Furthermore, quoting the original text in Yao 要, "essentials," in sequence, also comparing the materials of "the Analects of Confucius論語," with "the Shih chi史記," this thesis will be centered to a great extent on the relative similarity and differences between the Mawangdui Boshu Zhouyi Manuscript and the received text, and discussed the authencity of Yao 要, "essentials," of the contents shown in the chapter of 'Confucius became aged, and liked "The Book of Changes."' the relation of Confucius and the Changes will be clarified naturally through this progress.

Impact of Semantic Characteristics on Perceived Helpfulness of Online Reviews (온라인 상품평의 내용적 특성이 소비자의 인지된 유용성에 미치는 영향)

  • Park, Yoon-Joo;Kim, Kyoung-jae
    • Journal of Intelligence and Information Systems
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    • v.23 no.3
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    • pp.29-44
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    • 2017
  • In Internet commerce, consumers are heavily influenced by product reviews written by other users who have already purchased the product. However, as the product reviews accumulate, it takes a lot of time and effort for consumers to individually check the massive number of product reviews. Moreover, product reviews that are written carelessly actually inconvenience consumers. Thus many online vendors provide mechanisms to identify reviews that customers perceive as most helpful (Cao et al. 2011; Mudambi and Schuff 2010). For example, some online retailers, such as Amazon.com and TripAdvisor, allow users to rate the helpfulness of each review, and use this feedback information to rank and re-order them. However, many reviews have only a few feedbacks or no feedback at all, thus making it hard to identify their helpfulness. Also, it takes time to accumulate feedbacks, thus the newly authored reviews do not have enough ones. For example, only 20% of the reviews in Amazon Review Dataset (Mcauley and Leskovec, 2013) have more than 5 reviews (Yan et al, 2014). The purpose of this study is to analyze the factors affecting the usefulness of online product reviews and to derive a forecasting model that selectively provides product reviews that can be helpful to consumers. In order to do this, we extracted the various linguistic, psychological, and perceptual elements included in product reviews by using text-mining techniques and identifying the determinants among these elements that affect the usability of product reviews. In particular, considering that the characteristics of the product reviews and determinants of usability for apparel products (which are experiential products) and electronic products (which are search goods) can differ, the characteristics of the product reviews were compared within each product group and the determinants were established for each. This study used 7,498 apparel product reviews and 106,962 electronic product reviews from Amazon.com. In order to understand a review text, we first extract linguistic and psychological characteristics from review texts such as a word count, the level of emotional tone and analytical thinking embedded in review text using widely adopted text analysis software LIWC (Linguistic Inquiry and Word Count). After then, we explore the descriptive statistics of review text for each category and statistically compare their differences using t-test. Lastly, we regression analysis using the data mining software RapidMiner to find out determinant factors. As a result of comparing and analyzing product review characteristics of electronic products and apparel products, it was found that reviewers used more words as well as longer sentences when writing product reviews for electronic products. As for the content characteristics of the product reviews, it was found that these reviews included many analytic words, carried more clout, and related to the cognitive processes (CogProc) more so than the apparel product reviews, in addition to including many words expressing negative emotions (NegEmo). On the other hand, the apparel product reviews included more personal, authentic, positive emotions (PosEmo) and perceptual processes (Percept) compared to the electronic product reviews. Next, we analyzed the determinants toward the usefulness of the product reviews between the two product groups. As a result, it was found that product reviews with high product ratings from reviewers in both product groups that were perceived as being useful contained a larger number of total words, many expressions involving perceptual processes, and fewer negative emotions. In addition, apparel product reviews with a large number of comparative expressions, a low expertise index, and concise content with fewer words in each sentence were perceived to be useful. In the case of electronic product reviews, those that were analytical with a high expertise index, along with containing many authentic expressions, cognitive processes, and positive emotions (PosEmo) were perceived to be useful. These findings are expected to help consumers effectively identify useful product reviews in the future.

The Tresnds of Artiodactyla Researches in Korea, China and Japan using Text-mining and Co-occurrence Analysis of Words (텍스트마이닝과 동시출현단어분석을 이용한 한국, 중국, 일본의 우제목 연구 동향 분석)

  • Lee, Byeong-Ju;Kim, Baek-Jun;Lee, Jae Min;Eo, Soo Hyung
    • Korean Journal of Environment and Ecology
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    • v.33 no.1
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    • pp.9-15
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    • 2019
  • Artiodactyla, which is an even-toed mammal, widely inhabits worldwide. In recent years, wild Artiodactyla species have attracted public attention due to the rapid increase of crop damage and road-kill caused by wild Artiodactyla such as water deer and wild boar and the decrease of some species such as long-tailed goral and musk deer. In spite of such public attention, however, there have been few studies on Artiodactyla in Korea, and no studies have focused on the trend analysis of Artiodactyla, making it difficult to understand actual problems. Many recent studies on trend used text-mining and co-occurrence analysis to increase objectivity in the classification of research subjects by extracting keywords appearing in literature and quantifying relevance between words. In this study, we analyzed texts from research articles of three countries (Korea, China, and Japan) through text-mining and co-occurrence analysis and compared the research subjects in each country. We extracted 199 words from 665 articles related to Artiodactyla of three countries through text-mining. Three word-clusters were formed as a result of co-occurrence analysis on extracted words. We determined that cluster1 was related to "habitat condition and ecology", cluster2 was related to "disease" and cluster3 was related to "conservation genetics and molecular ecology". The results of comparing the rates of occurrence of each word clusters in each country showed that they were relatively even in China and Japan whereas Korea had a prevailing rate (69%) of cluster2 related to "disease". In the regression analysis on the number of words per year in each cluster, the number of words in both China and Japan increased evenly by year in each cluster while the rate of increase of cluster2 was five times more than the other clusters in Korea. The results indicate that Korean researches on Artiodactyla tended to focus on diseases more than those in China and Japan, and few researchers considered other subjects including habitat characteristics, behavior and molecular ecology. In order to control the damage caused by Artiodactyla and to establish a reasonable policy for the protection of endangered species, it is necessary to accumulate basic ecological data by conducting researches on wild Artiodactyla more.

Analysis method of patent document to Forecast Patent Registration (특허 등록 예측을 위한 특허 문서 분석 방법)

  • Koo, Jung-Min;Park, Sang-Sung;Shin, Young-Geun;Jung, Won-Kyo;Jang, Dong-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.4
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    • pp.1458-1467
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    • 2010
  • Recently, imitation and infringement rights of an intellectual property are being recognized as impediments to nation's industrial growth. To prevent the huge loss which comes from theses impediments, many researchers are studying protection and efficient management of an intellectual property in various ways. Especially, the prediction of patent registration is very important part to protect and assert intellectual property rights. In this study, we propose the patent document analysis method by using text mining to predict whether the patent is registered or rejected. In the first instance, the proposed method builds the database by using the word frequencies of the rejected patent documents. And comparing the builded database with another patent documents draws the similarity value between each patent document and the database. In this study, we used k-means which is partitioning clustering algorithm to select criteria value of patent rejection. In result, we found conclusion that some patent which similar to rejected patent have strong possibility of rejection. We used U.S.A patent documents about bluetooth technology, solar battery technology and display technology for experiment data.