Results 51 to 60 of about 163,622 (260)
Determining Political Text Complexity: Conceptualizations, Measurements, and Application
International Journal of Communication, 2019 Language is of major importance in communicating politics to the people. Political texts, however, vary in their use of language beyond their particular contents. Some texts are structurally and linguistically more complex than others.
Petro Tolochko, Hajo G Boomgaarden
doaj
Arthritis Care &Research, EarlyView.Objective We aimed to estimate the prevalence and cumulative incidence of hydroxychloroquine retinopathy (HCQ‐R) and its risk factors among patients receiving long‐term HCQ with rheumatic diseases through a systematic review and meta‐analysis of observational studies that used spectral‐domain optical coherence tomography (SD‐OCT) for screening ...
Narsis Daftarian +4 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Sketching a “low-cost” text-classification technique for text topics in English [PDF]
Ibérica, 2014 The aim of this paper is to sketch a potential methodology for automatic text classification which allows text topic discrimination as a prior step to new case assignment to previously established text topics.
Pascual Cantos Gómez
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Automated sentiment analysis of short texts
Ontology of DesigningDigital technologies are transforming traditional patterns of user behavior, increasingly shifting communication toward mobile devices that serve as personal assistants and multifunctional tools. This transition highlights the growing need to assess the emotional attitude of transmitted messages.
Aleksey N. Ivutin +2 more
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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
Авіаційно-космічна техніка та технологіяThe subject of the article is the processes of the automated analysis of server logs of software systems using Natural Language Processing methods. The goal is to develop an approach to improve the efficiency of log analysis by applying NLP algorithms ...
Vladyslav Chernyshchuk, Olga Morozova
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Text Mining Techniques for Automated Resume Analysis
, 2023 Abstract—Resume parser is a technology used to extract and examine data from the resumes of job applicants. This project aims to automate resume screening, making it quicker and more effective for recruiters and HR departments. The method for generating similarity scores between a resume and a job description using natural language processing ...
Anaya Susan George, Navyamol K T
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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Semantic Analysis of Text Data with Automated System
Collection of selected papers of the III International Conference on Information Technology and Nanotechnology, 2017 This paper describes application of the basic methods of semantic analysis of text data – Porter stemming, frequency semantic analysis, latent semantic analysis and syntactic semantic analysis using an automated system. The system allows analyzing the text using these methods.
Olesya Chernenko, Olga Gordeeva
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