Zobrazeno 1 - 10
of 1 017
pro vyhledávání: '"latent Dirichlet allocation (LDA)"'
Autor:
مؤمن سيد النشرتي النشرتيي
Publikováno v:
المجلة المصرية لعلوم المعلومات, Vol 11, Iss 2, Pp 660-703 (2024)
Creating Digital Identity for Arabic National Libraries from Content Analysis of Missions & Vision Statements Using Machine Learning Algorithms.This study explores the utilization of ML content analysis algorithms to create a robust digital identity
Externí odkaz:
https://doaj.org/article/d8c410092208401f83d0d60b390a6384
Publikováno v:
Journal of Systems Thinking in Practice, Vol 3, Iss 3, Pp 1-17 (2024)
The contemporary world is marked by generation and consumption of vast volume, high velocity, and considerable diverse data, leading us to the concept of big data. In this study, a system design thinking approach was employed to identify the requirem
Externí odkaz:
https://doaj.org/article/bcdb8e400d8145fea70f0078ef8079b6
Autor:
Meysam Salehi, Shahrbanoo Ghahari
Publikováno v:
Heliyon, Vol 10, Iss 22, Pp e39953- (2024)
Objective: Due to the importance of monitoring social networks to categorize domestic violence content and extract practical knowledge for conducting preventive interventions, as well as analyzing the extensive Persian textual content related to dome
Externí odkaz:
https://doaj.org/article/eae4819970c840acacaaed190dbcac1f
Autor:
Shahad Alkamli, Reham Alabduljabbar
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39087- (2024)
This study investigates privacy concerns associated with ChatGPT, a prominent generative AI model, through a data-driven approach combining Twitter data analysis and a user survey. Leveraging Latent Dirichlet Allocation (LDA) topic modeling and data
Externí odkaz:
https://doaj.org/article/9c63bbaa01434c36bf631a58bd7fec23
Publikováno v:
International Journal of Contemporary Hospitality Management, 2023, Vol. 36, Issue 7, pp. 2232-2255.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJCHM-01-2023-0109
Publikováno v:
International Journal for Quality Research, Vol 18, Iss 2, Pp 587-602 (2024)
This paper presents a semantic analysis of a collection of articles on maintenance policies through the Latent Dirichlet Allocation (LDA) methodology. The research comprises two periods. The first, from 2000 and 2018, aims to reveal the habits of org
Externí odkaz:
https://doaj.org/article/ca16661a9031409981186a7000a81678
Autor:
Yun-Cheng Tsai
Publikováno v:
Smart Learning Environments, Vol 11, Iss 1, Pp 1-21 (2024)
Abstract Purpose This paper explores how Educational Big Data Analytics can enhance student learning. It investigates the role of active learning in improving students’ data analysis skills and critical thinking. By actively engaging students in da
Externí odkaz:
https://doaj.org/article/9eb7c091bbfe4d1ba016d05cc9785c7a
Autor:
Ly, Dang Huy a, Le, Quang Hoai a, Hoang Nhat Nguyen, Truong Dang a, Ahn, Yonghan b, Kim, Kyungsoo c, Kwon, Nahyun d, ⁎
Publikováno v:
In Journal of Building Engineering 1 December 2024 98
Publikováno v:
IEEE Access, Vol 12, Pp 166977-166987 (2024)
This study employs an unsupervised learning technique to identify features of misinformation on Weibo, a popular social media platform in China. By utilizing BERT (Bidirectional Encoder Representations from Transformers) for sequence classification,
Externí odkaz:
https://doaj.org/article/d928aeb9215a45a09b7efaceed660dd4