• Asia pacific journal of information systems
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• 제33권4호
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• pp.1118-1134
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• 2023

Previous research has shown that employees tend to react more positively to corrective feedback from supervisors to the extent they perceive that they were treated with empathy, respect, and concern towards fair interpersonal treatment in receiving the feedback information. Then, to facilitate effective supervisory feedback and coaching, it would be useful for organizations to monitor the contents of feedback exchanges between supervisors and employees to make sure that supervisors are providing performance feedback using languages that are more likely to be perceived as interpersonally fair. Computer-aided text analysis holds potential as a useful tool that organizations can use to efficiently monitor the quality of the feedback messages that supervisors provide to their employees. In the current study, we applied computer-aided text analysis (using closed-vocabulary text analysis) and machine learning to examine the validity of language-based algorithms trained on supervisor language in performance feedback situations for predicting human ratings of feedback interpersonal fairness. Results showed that language-based algorithms predicted feedback interpersonal fairness with reasonable level of accuracy. Our findings provide supportive evidence for the promise of using employee language data for managing (and improving) performance management in organizations.

• International Journal of Computer Science & Network Security
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• 제22권8호
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• pp.87-96
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• 2022

This paper employs a computer-aided text analysis (CATA) and a Critical Discourse Analysis (CDA) to explore the strategies of recruitment and intellectual polarization in ISIS (Islamic State in Iraq and Syria) media. The paper's main objective is to shed light on the efficacy of employing computer software in the linguistic analysis of texts, and the extent to which CATA software contribute to deciphering hidden meanings of texts as well as to arrive at concise and authentic results from these texts. More specifically, this paper attempts to demonstrate the contribution of CATA software represented in the two variables of Frequency Distribution Analysis (FDA) and Content Analysis (CA) in decoding the strategies of recruitment and intellectual polarization in one of ISIS 's digital publication: Rumiyah (a digital magazine published by ISIS). The analytical focus is on three strategies of recruitment and intellectual polarization: (i) lexicalization, (ii) intertextual religionisation, and (iii) justification. Two main findings are revealed in this study. First, the application of CATA software into the linguistic investigation of texts contributes effectively to the understanding of the thematic and ideological messages pertaining to the analyzed text. Second, the computational analysis guarantees concise, credible, authentic and ample results than is the case if the analysis is conducted without the work of computer software. The paper, therefore, recommends the integration of CATA software into the linguistic analysis of the various types of texts.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.223-231
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• 2022

The application of computer software into the linguistic analysis of texts proves useful to arrive at concise and authentic results from large data texts. Based on this assumption, this paper employs a Computer-Aided Text Analysis (CATA) and a Critical Discourse Analysis (CDA) to explore the manipulative strategies of positive/negative presentation in Orwell's Animal Farm. More specifically, the paper attempts to explore the extent to which CATA software represented by the three variables of Frequency Distribution Analysis (FDA), Content Analysis (CA), and Key Word in Context (KWIC) incorporate with CDA decipher the manipulative purposes beyond positive presentation of selfness and negative presentation of otherness in the selected corpus. The analysis covers some CDA strategies, including justification, false statistics, and competency, for positive self-presentation; and accusation, criticism, and the use of ambiguous words for negative other-presentation. With the application of CATA, some words will be analyzed by showing their frequency distribution analysis as well as their contextual environment in the selected text to expose the extent to which they are employed as strategies of positive/negative presentation in the text under investigation. Findings show that CATA software contributes significantly to the linguistic analysis of large data texts. The paper recommends the use and application of the different CATA software in the stylistic and corpus linguistics studies.

• Computers and Concrete
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• 제16권2호
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• pp.287-309
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• 2015

FormWorks-Plus is a generalized public domain user-friendly preprocessor developed to facilitate the process of creating finite element models for structural analysis programs. The lack of a graphical user interface in most academic analysis programs forces users to input the structural model information into the standard text files, which is a time-consuming and error-prone process. FormWorks-Plus enables engineers to conveniently set up the finite element model in a graphical environment, eliminating the problems associated with conventional input text files and improving the user's perception of the application. In this paper, a brief overview of the FormWorks-Plus structure is presented, followed by a detailed explanation of the main features of the program. In addition, demonstration is made of the application of FormWorks-Plus in combination with VecTor programs, advanced nonlinear analysis tools for reinforced concrete structures. Finally, aspects relating to the modelling and analysis of three case studies are discussed: a reinforced concrete beam-column joint, a steel-concrete composite shear wall, and a SFRC shear panel. The unique mixed-type frame-membrane modelling procedure implemented in FormWorks-Plus can address the limitations associated with most frame type analyses.

• 정보교육학회논문지
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• 제20권6호
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• pp.543-552
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• 2016

최근들어 사회연결망분석을 이용한 연구가 사회과학 영역뿐 아니라 자연과학 영역에 이르기까지 여러분야에서 다양하게 연구되고 있다. 이에 본 논문에서는 정보교육분야 논문의 흐름을 분석하기 위해 R을 사용하여 정보교육학회 논문 빅데이터를 수집하고 텍스트분석과 사회연결망 분석을 실시하였다. 분석 결과, 논문 데이터에서 자주 언급되는 단어들은 IT 기술발전과 정보교육과정의 변화에 맞게 기간1에서는 CAI, 코스웨어 단어가, 기간2에서는 ICT 단어가, 기간3에서는 스마트, 스크래치 단어가, 기간4에서는 컴퓨팅 사고력, 코딩 단어가 처음으로 등장하였다. 또한, 추출된 단어들의 사회연결망 분석을 실시한 결과, 기간1에서는 단조로운 연결망 형태를 보이다가 기간3부터 중심성이 높은 단어가 다양해짐을 볼 수 있어 연구주제가 복잡하고 구체화됨을 알 수 있었다.

• International journal of advanced smart convergence
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• 제9권3호
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• pp.161-168
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• 2020

Over the last half-century, computer science has revolutionarily changed the landscape of humanities research. This digital shift in research methodology has reached from the brainstorming process to preserving, constructing, collecting, visualizing, and even analyzing materials. Such transformation has brought about the birth of the new field of study: Digital Humanities (DH). DH undeniably has saved much of the physical chores and provided a new angle to interpret the text, thereby making its meteoric rise as a promising future of the humanities. Based on such innovation, electronic circuitry can seem to replace the imagination that detects relationships and significances of research data with ever-improving interfaces. However, despite hitherto technological development, the thousands-year-old essence of traditional liberal arts-human creativity-remains the heart of humanities research and always will. This paper starts by proving this proposition in the way of comparing the old and new liberal arts research methods, focusing on literary studies. Meanwhile, it thoroughly investigates how digitalized bibliographies, search engines, databases, and digital projects provide the most useful data preservation and virtual experience of browsing in the library, along with their limitations due to the intrinsic quality of humanities research data. Also, it probes the differences between traditional and digital data analysis in current methods of literary studies, ultimately presenting the ideal direction for humanities development in the era of digital convergence.

• 인지과학
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• 제17권2호
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• pp.103-118
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• 2006

본 논문은 구성 통합 이론(Kintsch, 1988, Singer & Kintsch 2001, Graesser, Gernsbacher, & Goldman, 2003)을 토대로 주제어 연속성의 강도와 양태 어미 단서가 이야기 서사 텍스트에 쓰인 공주어 해석에 어떻게 이용되는지 검토했다. 실험 연구에는 명시적 조건과 중립적 조건 등 두 조건이 생성되었는데, 명시적 조건에는, 중립적 조건과는 달리, 주제어가 일관성 있게 유지되었고 또한 동사 어미의 형태 통사적 특징이 인칭과 일치되었다. 이 실험에는 59명의 대학생들이 다음 세 가지 과제에 참여했다. 실험은 첫째, 주어가 생략된 경우 피험자가 시험 문장(target sentence)을 읽는데 소요되는 시간을 측정했고, 둘째, 공주어의 해석, 즉, 선행사 (참조대상) 선택에 소요되는 반응 시간을 측정했으며, 셋째, 선행사 선정의 정답율을 분석했다. 실험 결과, 텍스트 처리과정에서 인칭과 같은 형태 통사적 조건이 유의미한 결과를 낳았으며, 또한, 주제어 연속성 조건의 효과가 형태 통사 조건에 따라 선택적인 양상을 보였다. 즉, 주제어가 지속적으로 연결되는 동안 화용적 맥락, 담화자의 사전 정보, 추론 등과 같은 총체적 정보와 주어, 동사 어미의 인칭과 같은 어휘적, 지엽적인 형태 통사적인 정보가 선행사 해석에 핵심적인 역할을 했다. 따라서, 이 실험 결과는 최소주의 가설 보다 공명 기반 모델을 지지한다.