• Title/Summary/Keyword: Direct-LDA

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Comparing Corporate and Public ESG Perceptions Using Text Mining and ChatGPT Analysis: Based on Sustainability Reports and Social Media (텍스트마이닝과 ChatGPT 분석을 활용한 기업과 대중의 ESG 인식 비교: 지속가능경영보고서와 소셜미디어를 기반으로)

  • Jae-Hoon Choi;Sung-Byung Yang;Sang-Hyeak Yoon
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.347-373
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    • 2023
  • As the significance of ESG (Environmental, Social, and Governance) management amplifies in driving sustainable growth, this study delves into and compares ESG trends and interrelationships from both corporate and societal viewpoints. Employing a combination of Latent Dirichlet Allocation Topic Modeling (LDA) and Semantic Network Analysis, we analyzed sustainability reports alongside corresponding social media datasets. Additionally, an in-depth examination of social media content was conducted using Joint Sentiment Topic Modeling (JST), further enriched by Semantic Network Analysis (SNA). Complementing text mining analysis with the assistance of ChatGPT, this study identified 25 different ESG topics. It highlighted differences between companies aiming to avoid risks and build trust, and the general public's diverse concerns like investment options and working conditions. Key terms like 'greenwashing,' 'serious accidents,' and 'boycotts' show that many people doubt how companies handle ESG issues. The findings from this study set the foundation for a plan that serves key ESG groups, including businesses, government agencies, customers, and investors. This study also provide to guide the creation of more trustworthy and effective ESG strategies, helping to direct the discussion on ESG effectiveness.

Comparison of Iris Feature Extraction Using Texture Analysis Methods (텍스쳐 분석 기법을 이용한 홍채 특징 추출의 비교)

  • Kim, Yong-Jin;Son, Byung-Jun;Kim, Kee-Jin;Lee, Yill-Byung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.847-850
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    • 2005
  • 본 논문에서는 저차원의 홍채 특징을 추출하기 위한 방법으로 텍스쳐 분석 기법에서 사용되는 Gabor 필터, Laws 필터 및 Wavelet 변환 및 추가적인 방법으로 Direct LDA(DLDA)을 사용한 홍채 특징추출 방법을 비교 분석하였다. 실험을 통해 일반적인 평균과 분산을 이용한 텍스쳐 기반 특징 추출 방법의 홍채인식 적용 가능성과, 텍스쳐 기반 특징 추출 방법에 의해 얻어진 1차 특징추출에 대해 추가 과정을 통해 높은 식별력과 낮은 차원을 가지는 특징을 얻을 수 있음을 증명한다.

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Application of Topic Modeling Techniques in Arabic Content: A Systematic Review

  • Maram Alhmiyani;Huda Alhazmi
    • International Journal of Computer Science & Network Security
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    • v.23 no.6
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    • pp.1-12
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    • 2023
  • With the rapid increase of user generated data on digital platforms, the task of categorizing and classifying theses huge data has become difficult. Topic modeling is an unsupervised machine learning technique that can be used to get a summary from a large collection of documents. Topic modeling has been widely used in English content, yet the application of topic modeling in Arabic language is limited. Therefore, the aim of this paper is to provide a systematic review of the application of topic modeling algorithms in Arabic content. Using a well-known and trusted databases including ScienceDirect, IEEE Xplore, Springer Link, and Google Scholar. Considering the publication date from 2012 to 2022, we got 60 papers. After refining the papers based on predefined criteria, we resulted in 32 papers. Our result show that unfortunately the application of topic modeling techniques in Arabic content is limited.

Effect of fringe divergence in fluid acceleration measurement using LDA (레이저 도플러 원리를 이용한 유체 가속도 측정)

  • Chun, Se-Jong;Nobach, Holger;Tropea, Cam;Sung, Hyung-Jin
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.1546-1551
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    • 2004
  • The laser Doppler technique is well-established as a velocity measurement technique of high precision for flow velocity. Recently, the laser Doppler technique has also been used to measure acceleration of fluid particles. Acceleration is interesting from a fluid mechanics point of view, since the Navier Stokes equations, specifically the left-hand-side, are formulated in terms of fluid acceleration. Further, there are several avenues to estimating the dissipation rate using the acceleration. However such measurements place additional demands on the design of the optical system; in particular fringe non-uniformity must be held below about 0.0001 to avoid systematic errors. Relations expressing fringe divergence as a function of the optical parameters of the system have been given in the literature; however, direct use of these formulae to minimize fringe divergence lead either to very large measurement volumes or to extremely high intersection angles. This dilemma can be resolved by using an off-axis receiving arrangement, in which the measurement volume is truncated by a pinhole in front of the detection plane. In the present study an optical design study is performed for optimizing laser Doppler systems for fluid acceleration measurements. This is followed by laboratory validation using a round free jet and a stagnation flow, two flows in which either fluid acceleration has been previously measured or in which the acceleration is known analytically. A 90 degree off-axis receiving angle is used with a pinhole or a slit.

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