Results 1 to 10 of about 2,935,368 (255)
Contaduría Universidad de Antioquia, 2023 El presente artículo evalúa el contenido del informe de auditoría —para caso de Colombia, informe del revisor fiscal— en las empresas cotizadas en la bolsa de valores de Colombia en el periodo 2010-2021, por medio de la metodología Text Mining, que ...
Julián Esteban Zamarra Londoño +2 more
semanticscholar +1 more source
Social Science Research, 2022 The emergence of big data and computational tools has introduced new possibilities for using large-scale textual sources in sociological research. Recent work in sociology of culture, science, and economic sociology has shown how computational text ...
Ana Macanovic
semanticscholar +1 more source
A Review of Digital Transformation on Supply Chain Process Management Using Text Mining
Processes, 2022 Industry 4.0 technologies are causing a paradigm shift in supply chain process management. The digital transformation of the supply chains provides enormous benefits to organizations by empowering collaboration among multiple internal and external ...
M. Tavana +3 more
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CoRR, 2022 The rapid growth of the internet has increased the number of online texts. This led to the rapid growth of the number of online texts in the Arabic language. The enormous amount of text must be organized into classes to make the analysis process and text retrieval easier. Text classification is, therefore, a key component of text mining.
Sumaia Mohammed Al-Ghuribi +1 more
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Text mining methodologies with R: An application to central bank texts
Machine Learning with Applications, 2022 We review several existing text analysis methodologies and explain their formal application processes using the open-source software R and relevant packages. Several text mining applications to analyze central bank texts are presented.
Jonathan Benchimol +2 more
semanticscholar +1 more source
Text Mining in Education—A Bibliometrics-Based Systematic Review
Education sciences, 2022 Advances in Information Technology (IT) and computer science have without a doubt had a significant impact on our daily lives. The past few decades have witnessed the advancement of IT enabled processes in generating actionable insights in various fields,
A. Ahadi +3 more
semanticscholar +1 more source
Opportunities and challenges of text mining in aterials research
iScience, 2021 Research publications are the major repository of scientific knowledge. However, their unstructured and highly heterogenous format creates a significant obstacle to large-scale analysis of the information contained within.
O. Kononova +5 more
semanticscholar +1 more source
Text mining with sentiment analysis on seafarers' medical documents
Int. J. Inf. Manag. Data Insights, 2021 Digital health systems contain large amounts of patient records, doctor notes, and prescriptions in text format. This information summarized over the electronic clinical information will lead to an improved quality of healthcare, the possibility of fewer
Nalini Chintalapudi +4 more
semanticscholar +1 more source
TnT-LLM: Text Mining at Scale with Large Language Models [PDF]
Knowledge Discovery and Data MiningTransforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and application.
Mengting Wan +13 more
semanticscholar +1 more source
Procedia Computer Science, 2020 Abstract This document describes the behavior of the production of academic papers and high circulation newspapers, published under the terms “Coronavirus, Covid-19 or SARS-CoV-2”. The purpose of this paper is to employ text mining techniques and qualitative data analysis for pattern identification (Dobrzynski, Dziekonski, Krzysztof, & Jurczuk, 2013;
Cristian O. Beltrán-Oicatá +3 more
openaire +1 more source