• Title/Summary/Keyword: words frequency

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Research Trends Analysis on ESG Using Unsupervised Learning

  • Woo-Ryeong YANG;Hoe-Chang YANG
    • The Journal of Economics, Marketing and Management
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    • v.11 no.3
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    • pp.47-66
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    • 2023
  • Purpose: The purpose of this study is to identify research trends related to ESG by domestic and overseas researchers so far, and to present research directions and clues for the possibility of applying ESG to Korean companies in the future and ESG practice through comparison of derived topics. Research design, data and methodology: In this study, as of October 20, 2022, after searching for the keyword 'ESG' in 'scienceON', 341 domestic papers with English abstracts and 1,173 overseas papers were extracted. For analysis, word frequency analysis, word co-occurrence frequency analysis, BERTopic, LDA, and OLS regression analysis were performed to confirm trends for each topic using Python 3.7. Results: As a result of word frequency analysis, It was found that words such as management, company, performance, and value were commonly used in both domestic and overseas papers. In domestic papers, words such as activity and responsibility, and in overseas papers, words such as sustainability, impact, and development were included in the top 20 words. As a result of analyzing the co-occurrence frequency of words, it was confirmed that domestic papers were related mainly to words such as company, management, and activity, and overseas papers were related to words such as investment, sustainability, and performance. As a result of topic modeling, 3 topics such as named ESG from the corporate perspective were derived for domestic papers, and a total of 7 topics such as named sustainable investment for overseas papers were derived. As a result of the annual trend analysis, each topic did not show a relatively increasing or decreasing tendency, confirming that all topics were neutral. Conclusions: The results of this study confirmed that although it is desirable that domestic papers have recently started research on consumers, the subject diversity is lower than that of overseas papers. Therefore, it is suggested that future research needs to approach various topics such as forecasting future risks related to ESG and corporate evaluation methods.

Analyzing the Science Words of Physics in 'Wise Life' Textbooks ('슬기로운 생활'에 수록된 물리 영역 과학 용어 분석)

  • Yun, Eunjeong;Park, Yunebae
    • Journal of Korean Elementary Science Education
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    • v.32 no.2
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    • pp.127-138
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    • 2013
  • The purpose of this study was to select the basic words of physics for science education which were learned through everyday life or school education and be foundation of learning science. For this, we collected all words in the 'Wise Life' textbooks by 7th and 2007 National Curriculum, and extract the science words. As a result, there were 8,970 words in 8 textbooks of 'Wise Life', and about 18% of them, 1,585 words, were science words. There were 266 kinds of science words and most of them were biology words. And the textbooks by 2007 National Curriculum had more science words than by 7th's. Finally we selected 24 basic words of science only in the physics area by comprehensively considering difficulty, need and frequency.

Intonational Pattern Frequency of Seoul Korean and Its Implication to Word Segmentation

  • Kim, Sa-Hyang
    • Speech Sciences
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    • v.15 no.2
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    • pp.21-30
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    • 2008
  • The current study investigated distributional properties of the Korean Accentual Phrase and their implication to word segmentation. The properties examined were the frequency of various AP tonal patterns, the types of tonal patterns that are imposed upon content words, and the average number and temporal location of content words within the AP. A total of 414 sentences from the Read speech corpus and the Radio corpus were used for the data analysis. The results showed that the 84% of the APs contained one content word, and that almost 90% of the content words are located in AP-initial position. When the AP-initial onset was not an aspirated or tense consonant, the most common AP patterns were LH, LHH, and LHLH (78%), and 88% of the multisyllabic content words start with a rising tone in AP-initial position. When the AP-initial onset was an aspirated or tense consonant, the most common AP patterns were HH, HHLH, and HHL (72%), and 74% of the multisyllabic content words start with a level H tone in AP-initial position. The data further showed that 84.1% of APs end with the final H tone. The findings provide valuable information about the prosodic pattern and structure of Korean APs, and account for the results of a previous study which showed that Korean listeners are sensitive to AP-initial rising and AP-final high tones (Kim, 2007). This is in line with other cross-linguistic research which has revealed the correlation between prosodic probability and speech processing strategy.

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A Study on the Lexicon-Use Behaviour of Architects & the Basic Lexicons in House Design (주택디자인에서 건축가들의 어휘 사용행태 및 기본어휘에 관한 연구)

  • Youn, Dae-Han
    • Journal of the Korean housing association
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    • v.17 no.5
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    • pp.27-37
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    • 2006
  • This paper analyzed statistically two corpora that were constructed from the texts about house designs written by Korean architects and PA Awards architects. The main results are as follows; (1) The numbers of words in Korean house-design corpus were 9,352 and those of words in PA Awards house design corpus were 2,379. The former were 18.7% and the latter 4.8% of about 50,000 words regarded as the rest using scale in actual life. (2) When the architects described their house designs, the lexicon-concentration phenomenon was pervasive in both groups. Therefore, we can infer that the high-frequency lexicons are very important in house design. (3) The architects' behaviour patterns of using the house-design lexicons, went by rules according to the word frequency order. The tendency formulas of them had the $R^{2}$ values which were more than 90%. (4) In Korean house design corpus, the high frequency lexicons were '공간', '층', '주택', '집', '대지', '거실', and '실'. In PA awards house design corpus, they were 'house','room','space','living','wall','level' and 'area'. From these results, We can tell that 'space' is the highest frequency word in house design of the two groups, and that '대지 ' and 'wall' are the words that reveal well the differences between the two groups.

Big Data Analysis of the Annals of the Joseon Dynasty Using Jsoup (Jsoup를 이용한 조선왕조실록의 빅 데이터 분석)

  • Bong, Young-Il;Lee, Choong-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.131-133
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    • 2021
  • The Annals of the Joseon Dynasty are important records registered in UNESCO. This paper proposes a method to analyze big data by examining the frequency of words in the Annals of the Joseon Dynasty translated into Korean. When you access the Annals of the Joseon Dynasty from an Internet site and try to investigate the frequency of words, if you directly access the source included in the page, the keywords necessary for the HTML grammar are included, so that it is difficult to analyze big data based on the frequency of words in the necessary text. In this paper, we propose a method to analyze the text of the Annals of the Joseon Dynasty using Java's Jsoup crawling function. In the experiment, only the Taejo part of the Annals of the Joseon Dynasty was extracted to verify the validity of this method.

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Network, Centrality, and Topic Analysis on Korea's Trade and Economy with Latin America and the Caribbean Area (한국의 중남미 지역연구 네트워크와 중심성 및 무역과 경제에 대한 토픽 변동분석)

  • Chae-Deug Yi
    • Korea Trade Review
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    • v.47 no.6
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    • pp.189-209
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    • 2022
  • This study aims to analyze Latin America and the Caribbean papers published in Korea during the past 2000-2020 years. Through this study, it is possible to understand the main subject and direction of research in Korea's Latin America and the Caribbean area. As the research mythologies, this study uses the text mining and Social Network Analysis such as frequency analysis, several centrality analyses, and topic analysis. After analyzing the empirical results, there has been a tendency to change the key words and centrality coefficients between 2000-2010 and 2011-2020 years. During 2011-2020 years, the most frequent keywords were changed from Neoliberalism and culture to policy education, and economy related words. The degree and closeness centrality analyses appeared the higher frequency key words. However, the eigenvector centrality appeared very different from the order of frequency key words. The topic analysis shows that the culture, language, and Neoliberalism were the most important keywords during 2000-2010 years but economy, labor trade, industry, development became the most important keywords during 2011-2020 years in topics.

Hangul Word-Frequency in Semantic Categorization Task (범주화 과제에서의 한글단어 빈도효과)

  • Cho, Jeung-Ryeul
    • Annual Conference on Human and Language Technology
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    • 1999.10e
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    • pp.351-358
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    • 1999
  • Two experiments were conducted to investigate effects of word-frequency on semantic processing of Hangul. Stimuli were two syllable words, and exemplars and target words were different in the final consonant of the second syllable in the Exp 1 and in the final consonant of the first syllable in the Exp2. Exp 1 shows the results that subjects made more errors on low frequency target words and took longer times on high frequency exemplars than on controls. In Exp 2 subjects took longer times on high frequency examplar-low frequency target word conditions than on controls. These results support the predictions of dual process models and suggest that the use of phonological and visual information depends on word frequency. Phonological activation appears to be an optional rather than obligatory process.

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A Text Mining Analysis for Research Trend about the Mathematics Education (텍스트 마이닝 분석을 통한 수학교육 연구 동향 분석)

  • Jin, Mireu;Ko, Ho Kyoung
    • East Asian mathematical journal
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    • v.35 no.4
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    • pp.489-508
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    • 2019
  • In this paper we used text mining method to analyze journals of mathematics education posterior to the year of 2016. To figure out trends of mathematics education research. we analyzed the key words largely mentioned in the recent mathematics education journals by Term Frequency and Term Frequency-Inverse Document Frequency method. We also looked at how these keywords match up with the key words that appear of education to prepare for future society. This result can infer the characteristics of mathematics education research in the aspect upcoming research topics.

The Effect of Syllable Frequency, Syllable Type and Final Consonant on Hangeul Word and Pseudo-word Lexical Decision: An Analysis of the Korean Lexicon Project Database (한글 두 글자 단어와 비단어의 어휘판단에 글자 빈도, 글자 유형, 받침이 미치는 영향: KLP 자료의 분석)

  • Myong Seok Shin;ChangHo Park
    • Korean Journal of Cognitive Science
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    • v.34 no.4
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    • pp.277-297
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    • 2023
  • This study attempted to find out how lexical decision of two-syllable words or pseudo-words is affected by syllabic information, such as syllable frequency, syllable (i.e. vowel) type, and presence of final consonant (i.e. batchim), through the analysis of the Korean Lexicon Project Database (KLP-DB). Hierarchical regression of RT data showed that lexical decision of words was influenced by the frequency of the first syllable, the syllable type of the first and second syllables, batchim for the first and second syllables, and also by the interaction of the two syllable types and the interaction of syllable frequency and batchim of the second syllable. For pseudo-words lexical decision was influenced by the frequency of the first and second syllables, syllable type of the first syllable, and batchim for the first and second syllables, and also by the interaction of the two syllable frequencies, the interaction of the two syllable types, and the interaction of syllable frequency and batchim of the first syllable. Word frequency had a strong effect on lexical decision of words, while syllabic information had a stable effect on the lexical decision of pseudo-words. These results indicate that syllabic information should be seriously considered in constructing word and pseudo-word lists and interpreting lexical decision time. Understanding the effect of syllabic information will also contribute to the understanding of word recognition process.

The Neighborhood Effect in Korean Visual Word Recognition (한국어 시각단어재인에서 나타나는 이웃효과)

  • Kwon, You-An;Cho, Hyae-Suk;Kim, Choong-Myung;Nam, Ki-Chun
    • MALSORI
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    • no.60
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    • pp.29-45
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    • 2006
  • We investigated whether the first syllable plays an important role in lexical access in Korean visual word recognition. To do so, one lexical decision task (LDT) and two form primed LDT experiments examined the nature of the syllabic neighborhood effect. In Experiment 1, the syllabic neighborhood density and the syllabic neighborhood frequency was manipulated. The results showed that lexical decision latencies were only influenced by the syllabic neighborhood frequency. The purpose of experiment 2 was to confirm the results of experiment 1 with form-primed LDT task. The lexical decision latency was slower in form-related condition compared to form-unrelated condition. The effect of syllabic neighborhood density was significant only in form-related condition. This means that the first syllable plays an important role in the sub-lexical process. In Experiment 3, we conducted another form-primed LDT task manipulating the number of syllabic neighbors in words with higher frequency neighborhood. The interaction of syllabic neighborhood density and form relation was significant. This result confirmed that the words with higher frequency neighborhood are more inhibited by neighbors sharing the first syllable than words with no higher frequency neighborhood in the lexical level. These findings suggest that the first syllable is the unit of neighborhood and the unit of representation in sub-lexical representation is syllable in Korea.

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