과학교과서 텍스트의 계량적 분석을 이용한 과학 개념어의 생산적 지식 교육 방안 탐색

윤은정 ( Eunjeong Yun ) 한국과학교육학회 2020 한국과학교육학회지 Vol.40 No.1

과학 개념에 대한 이해를 언어학적 관점에서 바라보면 학생들이 과학 개념어에 대한 깊고 정교한 이해와 더불어 정확하게 사용할 수 있는 능력을 길러주는 것이 매우 중요하다. 본 연구에서는 지금까지 과학 교육에서 과학 개념어에 대한 생산적 지식 교육의 기틀이 잘 마련되어 있지 않음에 주목하고, 과학 개념을 구성하고 있는 단어들 사이의 관계를 생산적이고 효과적으로 교육할 수 있는 방안을 탐색함으로써 과학 개념어의 생산적 지식 교육의 기틀을 제공하고자 하였다. 이를 위해 첫째, 몇 가지의 계량 언어학적 텍스트 분석 방법을 이용하여 과학 교과서 텍스트로 부터 과학 개념을 구성하고 있는 단어들과 그들 사이의 관계를 추출하고, 둘째, 각 방법의 결과로 추출된 단어 관계의 의미를 정성적으로 살펴본 뒤, 셋째, 이를 이용하여 과학 개념어의 생산적 지식 향상에 도움을 줄 수 있는 쓰기 활동 방법을 제안해 보았다. 중학교 1학년 과학교과서 ‘힘과 운동’ 단원 텍스트를 클러스터 분석, 공기 빈도 분석, 텍스트 네트워크 분석, 그리고 워드임베딩의 네 가지 계량 언어학적 분석 방법을 사용하여 분석해 보았다. 연구결과 첫째, 클러스터 분석 결과를 활용하여 문장 완성하기 활동을 제안하였다. 둘째, 공기 빈도 분석 결과를 이용한 빈 칸 채우기 활동을 제안하였다. 셋째, 네트워크 분석 결과를 이용하여 소재 중심 글쓰기 활동을 제안하였다. 넷째, 워드임베딩을 이용한 학습 중요 단어 목록 작성을 제안하였다. Looking at the understanding of scientific concepts from a linguistic perspective, it is very important for students to develop a deep and sophisticated understanding of words used in scientific concept as well as the ability to use them correctly. This study intends to provide the basis for productive knowledge education of scientific words by noting that the foundation of productive knowledge teaching on scientific words is not well established, and by exploring ways to teach the relationship among words that constitute scientific concept in a productive and effective manner. To this end, we extracted the relationship among the words that make up the scientific concept from the text of science textbook by using quantitative text analysis methods, second, qualitatively examined the meaning of the word relationship extracted as a result of each method, and third, we proposed a writing activity method to help improve the productive knowledge of scientific concept words. We analyzed the text of the “Force and motion” unit on first grade science textbook by using four methods of quantitative linguistic analysis: word cluster, co-occurrence, text network analysis, and word-embedding. As results, this study suggests four writing activities, completing sentence activity by using the result of word cluster analysis, filling the blanks activity by using the result of co-occurrence analysis, material-oriented writing activities by using the result of text network analysis, and finally we made a list of important words by using the result of word embedding.

동시단어분석을 이용한 품질경영분야 지식구조 분석

박만희 ( Man-Hee Park ) 한국품질경영학회 2016 품질경영학회지 Vol.44 No.2

Purpose: This study was designed to analyze the behavioral change of knowledge structures and the trends of research topics in the quality management field. Methods: The network structure and knowledge structure of the words were visualized in map form using co-word analysis, cluster analysis and strategic diagram. Results: Summarizing the research results obtained in this study are as follows. First, the word network derived from co-occurrence matrix had 106 nodes and 5,314 links and its density was analyzed to 0.95. Average betweenness centrality of word network was 2.37. In addition, average closeness centrality and average eigenvector centrality of word network were 0.01. Second, by applying optimal criteria of cluster decision and K-means algorithm to word co-occurrence matrix, 106 words were grouped into seven clusters such as standard & efficiency, product design, reliability, control chart, quality model, 6 sigma, and service quality. Conclusion: According to the results of strategic diagram analysis over time, the traditional research topics of quality management field related to reliability, 6 sigma, control chart topics in the third quadrant were revealed to be declined for their study importance. Research topics related to product design and customer satisfaction were found to be an important research topic over analysis periods. Research topic related to management innovation was emerging state and the scope of research topics related to process model was extended to research topics with system performance. Research topic related to service quality located in the first quadrant was analyzed as the key research topic.

친족명사의 공기어 양상과 네트워크 분석

정유진 ( Eu Gene Chung ),강범모 ( Beom Mo Kang ) 대한언어학회 2011 언어학 Vol.19 No.2

This study aims to explore how family nouns and their co-occurring words are portrayed in a Korean newspaper collection, the Trends 21 corpus (Kim et al., 2010). We adopt network analysis using co-occurring words with target words, thirty family nouns. The co-occurring words are regarded as not only semantically related but also mentally associated with target words. A network is a graph-based structure made up of entities which are connected by specific types of relationship. We have used Pajek (Nooy, Mrvar & Vladimir, 2005) to visualize the relationship between a target word and its co-occurring words. The nodes are labeled as target words and co-occurrences; the links are indicated with the t-score in this study. Based on the network analysis, we identify uses of co-occurring words among target family nouns as well as the structure of networks by connection and centrality value. In addition, we can find out distinctions among semanitc groups of family nouns; for example, ``couple`` vs ``core-family``.

동시출현단어 분석을 활용한 비탈면 붕괴 예측 및 분석 연구에 관한 지적구조 분석

김선겸 ( Sun-kyum Kim ),김승현 ( Seung-hyun Kim ) 대한지질공학회 2021 지질공학 Vol.31 No.3

최근 드론 및 빅데이터, 인공지능 등 디지털 기술을 활용한 비탈면 연구를 수행하고 있으나 다소 미흡한 실정이며, 여전히 비탈면 붕괴 대비에 취약하다. 이러한 이유로 비탈면 붕괴에 효과적으로 대처하기 위해 디지털 기술을 활용한 비탈면 붕괴 예측 및 분석 연구에 대한 발전방향을 제시하는 것이 필연적이며, 이를 위해 비탈면 붕괴 예측 및 분석에 관한 이해가 선제되어야 한다. 본 연구는 비탈면 붕괴 예측 및 분석 연구의 지적구조를 규명하여 연구방향을 제시하기 위해 2016년 1월 1일부터 2020년 12월 31일까지의 5년간의 Web of Science 기반으로 문헌 데이터를 수집하고 이를 동시출현단어를 활용하여 분석하였다. 네트워크 분석을 통하여 세부 주제 영역을 밝히고, 키워드 간의 지적 관계를 시각화하여 관계, 중심성 분석을 통한 전역 및 지역 중심성이 높은 키워드를 도출하였다. 또한 군집분석을 실시하여 형성된 군집을 다차원축적지도에 표시하였으며, 각 키워드들 간의 상관관계에 따른 지적구조를 제시하였다. 이러한 연구의 결과는 비탈면 붕괴 분석 및 예측 연구의 지적구조를 밝히고, 향후 연구 방향을 찾는데 도움이 될 것으로 기대한다. Although it is currently conducting slope management and research using digital technologies such as drones, big data, and artificial intelligence, it is still somewhat insufficient and is still vulnerable to slope failure. For this reason, it is inevitable to present the development direction for research on prediction and analysis of slope failure using the digital technologies to effectively deal with slope failure, which requires a preemptive understanding of prediction and analysis of slope failure. In this paper, we collected literature data based on the Web of Science for five years from January 1, 2016 to December 31, 2020 and analyzed by co-word analysis to identify the domain structure of research on prediction and analysis of slope failure. Detailed subject areas were identified through network analysis, and the domain relationships between keywords were visualized to derive global and regionally oriented keywords through relationship, centrality analysis. In addition, the clusters formed by performing cluster analysis were displayed on the multidimensional scailing map, and the domain structure according to the correlation between each keyword was presented. The results of this study reveal the domain structure of research on prediction and analysis of slope failure, and are expected to be usefully used to find future research directions.

『님의 침묵』의 어휘적 분석 - 고빈도 어절과 공기 관계 어절을 중심으로 -

이정민,이원영 한성어문학회 2024 漢城語文學 Vol.51 No.-

This paper focuses on a lexical analysis of The Silence of Nim . For this purpose, the paper analyzes high-frequency words used in the collection of poems and those that are significantly collocated with these high-frequency words. Initially high-frequency words in the collection of poems were extracted. It was found that words including ‘I’, ‘You’, and ‘Nim’ appear frequently. First, High-frequency words in the collection of poems, such as those including ‘I’, ‘You’, and ‘Nim’, were extracted using AntConc. This revealed that words containing ‘I’, ‘You’, and ‘Nim’ frequently appear in the collection of poems. Next, words that have a strong collocation with the highest frequency words - ‘I’, ‘You’, and ‘Nim’ - were analyzed and categorized. This revealed that words containing ‘I’ often collocate with poetic objects like ‘You’ or ‘Nim’, as well as with words like ‘Doesn’t exist’, ‘Give’, ‘Without’. Words containing ‘You’ are associated with those representing the speaker, such as ‘I’, and with words like ‘Doesn’t exist’, ‘However’, ‘Come’. Words containing ‘Nim’ are found alongside speaker-representing words and terms like ‘Ahah’, ‘Doesn’t exist’, ‘Give’. Finally, the lexical analysis of the poetry collection was synthesized, leading to an analysis and expansion of the understanding horizon of the collection of poems. The understanding of collection of poems, as identified through its lexical patterns, is that the core of the collection lies in distinguishing ‘Nim’ as either ‘You’ or ‘Nim’, recognizing ‘You’ and ‘Nim’ not in isolation but within the ‘I-You’ and ‘I-Nim’ relational frameworks, treating ’You‘ mainly as a matter of romantic affection and ‘Nim’ as a sublimated metaphysical issue derived from such affection, featuring paradoxical vocabulary that negates negation (absence, separation), and demonstrating through its lexicon an aesthetic of constructing metaphysics within the roots of romantic narratives through ‘You’ and ‘Nim’ 본고는 시집 『님의 침묵』에 대한 어휘적 분석을 목적으로 한다. 이를 위해 본고는 시집에서 활용되는 고빈도 어절들과, 고빈도 어절과 주요하게 공기되는 어절들을 분석하였다. 먼저 AntConc를 활용하여 시집에 나타나는 고빈도 어절들을 추출하였다. 이를 통해 시집에서 ‘나’ 포함 어절, ‘당신’ 포함 어절, ‘님’ 포함 어절 등이 고빈도로 나타나고 있음을 확인하였다. 다음으로 시집의 가장 고빈도 어절인 ‘나’ 포함 어절, ‘당신’ 포함 어절, ‘님’ 포함 어절과 강한 공기 관계를 보이는 어절들을 분석하고 유형화하였다. 이를 통해 ‘나’ 포함 어절에는 시적 대상인 ‘당신’이나 ‘님’을 포함하는 어절들과 ‘없읍니다’, ‘주셔요’, ‘없는’ 등이, ‘당신’ 포함 어절에는 화자를 표상하는 ‘나’ 포함 어절들과 ‘없읍니다’, ‘그러나’, ‘오셔요’ 등이, ‘님’ 포함 어절에는 화자를 표상하는 어절들과 ‘아아’, ‘없읍니다’, ‘주셔요’ 등이 주요한 공기어로 나타나고 있음을 확인하였다. 마지막으로 시집의 어휘 분석을 종합하면서 시집의 이해 지평을 분석・확장하였다. 어휘 양상을 통해 주요하게 확인되는 시집에 대한 이해는 시집의 핵심으로서 님이 ‘당신’이나 ‘님’으로 변별되어 나타난다는 점, 이러한 ‘당신’과 ‘님’이 고립적이기보다는 ‘나-당신’, ‘나-님’의 관계 구도 속에 인식된다는 점, ‘당신’은 주로 애정사적 문제로서, ‘님’은 이러한 ‘당신’의 애정사가 승화된 형이상학의 문제로서 다루어진다는 점, 부정(부재, 이별)을 부정함으로써 전복하는 역설의 어휘가 주요하게 나타난다는 점, 시집의 어휘가 ‘당신’과 ‘님’을 통해 애정사의 뿌리 속에서 형이상학을 구축하는 미학을 보여주고 있다는 점 등이다.

基於CiteSpace视角对现代汉语反义複合词研究現狀的可視化知識圖譜分析 ― 以1978-2021年为中心

유유,김현철 중국어문학연구회 2022 중국어문학논집 Vol.- No.133

The scientific development of linguistics is a new topic with many concerns in this field. In this paper, literature about Antonymous Compound Word in modern Chinese language is collected and organized, which includes the research results related to ‘Antonymous Compound Word in Chinese’ in CNKI from January 1978 to November 2021. Based on the literature, the writer draws the visualization knowledge map of the collected data by the visualizing application Citespace, and then analyzes and interprets the data presented in the maps. In the first chapter, the definition of Antonymous Compound Word and its development is demonstrated. Chapter Two firstly introduces the visualization application Citespace. Then, it fully demonstrates the range where the literature is collected, the procedure of collecting literature in CNKI, the research method based on Citespace, etc. As the major part, Chapter Three discusses the visualization maps drawn with Citespace. The knowledge maps about the following data are presented: annual quantity of publications, publication frequency of authors, cooperation degree among authors, publication frequency of institutions, cooperation degree among institutions, co-keyword appearance, co-keyword cluster, co-keyword timeline, and high-frequency salient keyword. Next, the analysis and interpretation of the knowledge maps are given based on Citespace. Meanwhile, the specific data in the maps are fully demonstrated in this part. First, the writer analyzes the annual quantity of publications. It has been found that the research on Antonymous Compound Word was not paid attention until 2000. In recent years, the annual quantity of publications has been steadily increasing, which is developing in both scale and depth. In the future, this field will continue to steadily develop. Then, the writer analyzes the data about the authors and institutions. From the perspective of publication frequency of authors and cooperation degree among authors, it can be concluded that the authors don’t have much cooperation in this field and there is no cooperative group in scale. Besides, the index of cooperation degree among institutions is 0, that is, there is no cooperation among institutions in the field. It shows that although the scholars have paid attention to ‘Antonymous Compound Word’, they have different focuses and lack cooperation. Cooperation groups in scale in this field are expected in this field. At last, the writer studies on the data about keyword. The knowledge maps of co-keyword appearance, co-keyword clusters, co-keyword timeline, and high-frequency salient keyword are respectively drawn with Citespace. Through the analysis and interpretation of these maps, the writer concludes that the research on ‘Antonymous Compound Word’ mainly focused on the structure before 2000 and then on the cognition, especially its grammaticalization, after 2000. There is no prominent overlap among different clusters, nor comprehensive research that covers all clusters. Besides, the research on the construction is also limited. Therefore, the research on ‘Antonymous Compound Word’ should prioritize its comprehensiveness and the connection among different clusters in the future. And more breakthroughs in the study on the construction are also expected. The application of Citespace greatly contributes to the development of quantitative linguistics, literature statistics, Bibliometrics, etc. It is necessary and effective to introduce quantitative methods into linguistics for the scientization of linguistic research. With the knowledge map of a certain field in linguistics based on Citespace, the status quo of the literature in linguistics, especially in a certain research field in modern Chinese language, can be presented more clearly and accurately. The paper concentrates on the research on ‘Antonymous Compound Word’, draws visualization maps about the development of related literature with Citespace, the...

윤동주 관련 연구 동향 분석 : 주제별 분석 및 동시출현단어 분석을 중심으로

김은실 ( Kim Eun-sil ),신승윤 ( Shin Seung-yoon ),홍성주 ( Hong Seoung-ju ),강승혜 ( Kang Seung-hae ) 국제비교한국학회 2018 비교한국학 Comparative Korean Studies Vol.26 No.2

The purpose of this study was to analyze the trends in research on Yun, Dong-ju since the 1960s. These trends were analyzed by year, type, and themes, and in addition key words from the titles of research papers were analyzed in-depth using co-word analysis. For this, a total of 593 studies including 293 theses and 300 journals were analyzed. As a result, they were classified into 10 sub-themes: ‘Yun, Dong-ju’, ‘comparison’, ‘consciousness(awareness)’, ‘poetic analysis’, ‘education’, ‘religion’, ‘region’, ‘specific perspective’, ‘diaspora’, ‘etc.’ Among these, ‘poetic analysis’, ‘consciousness(awareness)’, and ‘comparative studies’ has shown respectively highest frequency. In addition, co-word analysis was used to compare and analyze the characteristics of research trends since the year 2000. Finally, this study visualized the simultaneous word network of ‘poetry’, ‘awareness’, ‘consciousness’, ‘comparison’ and ‘religion’ and analyzed the features of each theme.

한국의 일대일로 연구동향 분석: 동시출현 네트워크 방법의 적용

현기순,김형근 국제지역학회 2019 국제지역연구 Vol.23 No.2

This paper conducted keyword analysis of the ‘Belt and Road Initiative(BRI)’ from the Korea Citation Index(KCI) based on Social Network Analysis(SNA) and co-word network analysis during Jan. 2014 to Mar. 2019, to reveal the research trends of the BRI in Korea. The results of this research using the betweenness centrality and community structure analysis are as follows. First, convergent research on the BRI showed that inter-regional logistics infrastructure and corporate sector need to be utilized. Second, the three trends of research on BRI involved the following: a logistics network linking them, including geographical range, such as the Korean Peninsula and Northeast Asia; geopolitical issues represented by economic integration and inter-country conflict; and the BRI’s business environment, including capital, technology, finance, etc. Consequently, the results propose a direction for the challenges that Korea needs meet in order to respond to the BRI within the uncertain global economic space structure. 본 연구는 2014년 1월부터 2019년 3월까지 일대일로가 주제어로 검색되는 한국학술지인용색인(Korea Citation Index, KCI)의 논문 정보를 바탕으로 사회연결망분석(Social Network Analysis, SNA)을 활용한 동시출현(co-word) 네트워크 분석을 수행함으로써 일대일로의 연구동향을 파악하였다. 키워드 네트워크의 중심구조와 응집구조에 대한 분석을 통해 파악된일대일로 연구의 위상학적 구조의 특징을 요약하면 다음과 같다. 첫째, 일대일로를 주제로 한 통섭적 연구는 지역 간 물류인프라와 기업 부문이 활용될 필요가 있다는 것을 보여준다. 둘째, 일대일로 연구의 세 가지 흐름은 한반도, 동북아 같은 공간적 범위를 포함하여 이들을 연계하는 물류네트워크, 경제통합과 상호 대립으로 대변되는 지정학적 이슈 및 자본‧ 기술‧ 금융 등을 포함한 일대일로의 비즈니스 환경인 것으로 파악되었다. 이러한 결과는 불확실한 세계 경제 공간 구조 내에서 일대일로와 관련하여 한국이 정책적으로 대응해야 하는 도전 과제에 대한 방향성을 제시해준다.

Co-word analysis를 통한 가족 패러다임의 분석

장임숙(Jang, Im Sook) 한국지방정부학회 2018 지방정부연구 Vol.22 No.3

본 연구는 가족 패러다임의 역학구조를 전체적으로 조망하고자 거시적이고 통시적인 관점에서 가족연구의 동향을 분석한다. 이를 위해 코워드분석방법(Co-word Analysis)을 활용하여 가족 패러다임의 전체적 특성을 분석하고, 시기별·학문분야별 연구동향을 파악하여 시대적·학문적 흐름을 이해하고자 하였다. 구체적인 분석대상은 2001년부터 2017년까지 발행된 KCI 등재학술지에 수록된 가족논문 5,171편을 대상으로 한다. 분석결과, 초기의 가족연구는 소수의 개념을 중심으로 집중적인 연구가 이루어졌지만 점차 다양한 개념들이 등장하면서 하위주제가 발전하고 심화되는 양상을 보였다. 그리고 학문분야에 따라 연구주제의 다양성과 키워드네트워크의 구조적 상이성이 발견되었다. This paper analyzes the trend of family studies from the perspective of macro and temporal perspective in order to overview the flow of family paradigm. First, This paper analyzes the evolutionary process of family paradigm using co-word analysis. Second, This paper aims to understand the temporal change and academic characteristics of family studies through comparative analysis by period and field. Analysis targets are for 5171 papers in the KCI Registration Journal published from 2001 to 2017. As a result of the analysis, early family studies focused on a few concepts, but the sub-topics gradually diversified as a variety of concepts emerged. The diversity of study themes and the structural differences of keyword networks were shown according to the academic field.

한자어 ‘악(惡)’의 의미와 사용 분석

최유숙(Choi, Yusook) 중앙어문학회 2018 語文論集 Vol.74 No.-

이 연구는 한자어 ‘악’의 의미와 ‘악’ 포함 단어의 양상을 살피는 것을 목적으로 하였다. 이를 위해 먼저 국어사전, 한자사전, 중국어사전 등을 통해 한자어 ‘악’, 한자 ‘惡’, 중국어 ‘恶’ 등의 사전 의미를 알아보았다. 한자어 ‘악’은 대체로 ‘비도덕 · 비양심’ 등으로 정의되고, 기원이 된 한자 ‘惡’과 중국어 ‘恶’은 정도의 차이는 있으나 구체적·추상적 대상 모두에 대해 ‘나쁨‧나쁜 (것)’으로 정의되고 있었다. 국어사전상 ‘악’ 포함 단어에서 ‘악’의 의미 또한 ‘악하다 · 나쁘다’로 풀이된 경우가 가장 빈번하였다. 국어사전상 ‘악’ 포함 단어에서 ‘악’의 의미가 매우 다양하게 풀이된 점이 특기할 만한데 이것은 한자사전의 영향인 것으로 보았다. 이어 한자어 ‘악’이 포함된 단어의 사용을 빈도조사를 통해 살펴본바 최고빈도로 사용된 ‘악’ 포함 단어는 ‘악화’, ‘최악’ 등이었다. 여기에서는 한자어 ‘악’이 접두사와 유사한 기능을 할 뿐 아니라, 비자립적 어근이나 복합어 구성소 등으로 단어 형성에 전면적으로 참여하고 있음도 알 수 있었다. 또한 ‘악’의 공기어를 통해 명사 ‘악’이 문장 내에서 단어 외부와 맺는 관계도 알아보았다. 그 결과 ‘악’의 1위 공기어는 ‘축’으로 나타났는데, 이는 북한과 미국 관련 기사에서 ‘악’이 가장 빈번히 사용되었음을 말해주는 것으로 보았다. This study examines the meaning of the Sino-Korean word ‘ag’ and the meaning of words containing ‘ag’. To this end, the dictionary definitions of ‘ag’ and the Chinese character ‘惡’ were examined. The Sino-Korean word ‘ag’ is generally defined as “immorality” or “unconscionability,” while the Chinese character ‘惡’ and the Chinese word ‘恶’ were defined as ‘nabbum‧nabbun’ (geod), although they differed in degree. According to the Korean dictionary, the meaning of words containing ‘ag’ were also mostly defined as “bad” or “evil,” both in the specific and the abstract sense. It is notable that the meanings of ‘ag’ in the Korean dictionary were varied. This seems to be an influence of the Chinese character dictionary. The usage of words containing the Sino-Korean word ‘ag’ were also examined by way of a frequency analysis. Based on this analysis, the most frequently used words containing ‘ag’ were ‘ag-hwa’ (degradation) and ‘choe-ag’ (the worst). The study found that the Sino-Korean word ‘ag’ acts almost as a prefix, and it also participates in word formulation as a codependent root or an element of a compound word. By examining the cooccurring words of “evil,” the external relationship of the noun “evil” inside sentences was also examined. The number one cooccurring word was “axis,” and this demonstrates that “evil” was most frequently used in articles about North Korea and the United States.