Results 41 to 50 of about 79,268 (265)

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

A day in the life of a content miner and team

Insights: The UKSG Journal, 2016
It’s tough for Peter getting out of bed today – yesterday he travelled to Brussels and back, fighting for ‘The Right to Read is the Right to Mine’ (R2RR2M). Content mining – also known as text and data mining (TDM) – is a hot topic in Europe.
Tom Arrow, Jenny Molloy, Peter Murray-Rust   +2 more
doaj   +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, Vinya Dengre, Hamza Abubakar Kheruwala, Manan Shah   +3 more
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Text Data Mining: Theory and Methods [PDF]

Statistics Surveys, 2008
This paper provides the reader with a very brief introduction to some of the theory and methods of text data mining. The intent of this article is to introduce the reader to some of the current methodologies that are employed within this discipline area while at the same time making the reader aware of some of the interesting challenges that remain to ...
openaire   +5 more sources

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Non‐Additive Criteria Assessment in Sustainability Evaluation of High Entropy Alloys: A Toxicity‐Weighted Framework

Advanced Engineering Materials, EarlyView.
Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic, Oladele A. Ogunseitan, Julie M. Schoenung   +2 more
wiley   +1 more source

Enhancing Going Concern Prediction Models: Integrating Text Mining with Data Mining Approaches [PDF]

Iranian Journal of Accounting, Auditing & Finance
The linguistic features embedded within business unit information play a crucial role in effectively conveying economic realities, a consideration increasingly recognized in accounting and behavioral finance research.
Hamid Abbaskhani, Asgar Pakmaram, Nader Rezaei, Jamal Bahri Sales   +3 more
doaj   +1 more source

Predicting numeric ratings for Google apps using text features and ensemble learning

ETRI Journal, 2020
Application (app) ratings are feedback provided voluntarily by users and serve as important evaluation criteria for apps. However, these ratings can often be biased owing to insufficient or missing votes.
Muhammad Umer, Imran Ashraf, Arif Mehmood, Saleem Ullah, Gyu Sang Choi   +4 more
doaj   +1 more source