Results 21 to 30 of about 2,935,368 (255)
FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining
International Joint Conference on Artificial Intelligence, 2020 There is growing interest in the tasks of financial text mining. Over the past few years, the progress of Natural Language Processing (NLP) based on deep learning advanced rapidly.
Zhuang Liu +4 more
semanticscholar +1 more source
R&D Management, 2020 Unstructured data in the form of digitized text is rapidly increasing in volume, accessibility, and relevance for research on innovation and beyond. While traditional attempts to analyze text (i.e., qualitative analysis) are limited in processing large ...
David Antons +3 more
semanticscholar +1 more source
Twitter and Research: A Systematic Literature Review Through Text Mining
IEEE Access, 2020 Researchers have collected Twitter data to study a wide range of topics. This growing body of literature, however, has not yet been reviewed systematically to synthesize Twitter-related papers.
A. Karami +3 more
semanticscholar +1 more source
Utilization of text mining as a big data analysis tool for food science and nutrition.
Comprehensive Reviews in Food Science and Food Safety, 2020 Big data analysis has found applications in many industries due to its ability to turn huge amounts of data into insights for informed business and operational decisions.
Dandan Tao, Pengkun Yang, H. Feng
semanticscholar +1 more source
Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Molecular Oncology, EarlyView.Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source
Comprehensive review of text-mining applications in finance
Financial Innovation, 2020 Text-mining technologies have substantially affected financial industries. As the data in every sector of finance have grown immensely, text mining has emerged as an important field of research in the domain of finance.
Aaryan Gupta +3 more
semanticscholar +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.The corrosion performance of AlSi7Mg and AlSi10Mg alloys produced through selective laser melting (SLM) was examined under compressive stress in a chloride environment. Electrochemical analyses, including open‐circuit potential (OCP), potentiodynamic polarization (CPP), and electrochemical impedance spectroscopy (EIS), were complemented by scanning ...
Femi John Akinfolarin +2 more
wiley +1 more source
, 1998 Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on KDD has been concerned with structured databases, there has been little work on handling the huge amount of information that is available only in unstructured textual form ...
openaire +1 more source
Research lines on the impact of the COVID-19 pandemic on business. A text mining analysis
Journal of business research, 2020 COVID-19 has brought about a marked slowdown in global economic development. Companies have been forced to adopt new managerial guidelines to adapt to the difficult conditions and to survive in this “new normal”. The recent and still scarce literature in
Patricia Carracedo +2 more
semanticscholar +1 more source