Results 81 to 90 of about 2,786,422 (354)
Text Mining for Big Data Analysis in Financial Sector: A Literature Review
Sustainability, 2019 Big data technologies have a strong impact on different industries, starting from the last decade, which continues nowadays, with the tendency to become omnipresent.
M. P. Bach +3 more
semanticscholar +1 more source
Advanced Science, EarlyView.Traditional Chinese Medicine (TCM), while holistic and historically esteemed, faces challenges in “miracle cures” due to slow onset, long cycles, and difficulty controlling quality. This study obtains the active ingredients, glabridin (GLA) and puerarin (PUE), from Ge‐Gen Decoction (GGD), developing a safe and effective drug delivery system, GLA‐PUE ...
Jianhong Qi +7 more
wiley +1 more source
Business Strategy and the Environment, Volume 32, Issue 1, Page 820-841, January 2023., 2023 Abstract Recent research suggests that the effect of greenwashing and corporate financial performance (CFP) is ambiguous. This call for study the contextual factors that create contingencies in the greenwashing–CFP relationship. Using a sample of 2816 observations covering 735 Chinese‐listed firms in 21 different industries from 2013 to 2017, this ...
Wei Li +3 more
wiley +1 more source
Text Data Mining from the Author's Perspective: Whose Text, Whose Mining, and to Whose Benefit? [PDF]
arXiv, 2018 Given the many technical, social, and policy shifts in access to scholarly content since the early days of text data mining, it is time to expand the conversation about text data mining from concerns of the researcher wishing to mine data to include concerns of researcher-authors about how their data are mined, by whom, for what purposes, and to whose ...
arxiv
Advanced Science, EarlyView.Overview of the Genetic Deafness Commons (GDC), integrating data from the Chinese Deafness Genetics Consortium (CDGC) and 51 public databases. The GDC provides tools for variant search, functional predictions, and gene‐disease visualization, offering insights into 201 hearing loss genes and facilitating novel gene discovery and clinical applications ...
Hui Cheng +11 more
wiley +1 more source
Revstat Statistical Journal, 2020 This paper aims to analyze unstructured data using a text mining approach. The work was motivated in order to organize and structure research in Risk Theory.
Renata G. Alcoforado +1 more
doaj +1 more source
Opinion Mining Using Population-tuned Generative Language Models [PDF]
arXiv, 2023 We present a novel method for mining opinions from text collections using generative language models trained on data collected from different populations. We describe the basic definitions, methodology and a generic algorithm for opinion insight mining.
arxiv
A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining
IEEE Access, 2019 The amount of biomedical literature is vast and growing quickly, and accurate text mining techniques could help researchers to efficiently extract useful information from the literature.
Donghyeon Kim +8 more
semanticscholar +1 more source
Text Mining: Natural Language techniques and Text Mining applications [PDF]
, 1998 In the general framework of knowledge discovery, Data Mining techniques are usually dedicated to information extraction from structured databases. Text Mining techniques, on the other hand, are dedicated to information extraction from unstructured textual data and Natural Language Processing (NLP) can then be seen as an interesting tool for the ...
Rajman, M., Besançon, R.
openaire +3 more sources
Advances in Symbiotic Bioabsorbable Devices
Advanced Science, EarlyView.This review focuses on recent advances in bioabsorbable devices. This review concludes innovation at the material, device, and system levels, the significant advances toward biomedical applications. This review discusses and highlights the challenges and trends in symbiotic bioresorbable electronics, and provides a new direction for the development of ...
Chang Zhu +3 more
wiley +1 more source