Revisiting reproducibility in transportation simulation studies by Kevin Riehl, Anastasios Kouvelas, Michail A. Makridis

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Revealing the Influence of Semantic Similarity on Survey Responses: A Synthetic Data Generation Approach by Esko Lehtonen, Tommi Buder-Grondahl, Sina Nordhoff

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A Comparative Study of Sentiment Analysis on Customer Reviews Using Machine Learning and Deep Learning by Logan Ashbaugh, Yan Zhang

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Classification of Russian Texts by Genres Based on Modern Embeddings and Rhythm by Ksenia Vladimirovna Lagutina

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Contextual Emotional Transformer-Based Model for Comment Analysis in Mental Health Case Prediction by Ayodeji O. J. Ibitoye, Oladosu O. Oladimeji, Olufade F. W. Onifade

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Patient-centric knowledge graphs: a survey of current methods, challenges, and applications by Hassan S. Al Khatib, Subash Neupane, Harish Kumar Manchukonda, Noorbakhsh Amiri Golilarz, Sudip Mittal, Amin Amirlatifi, Shahram Rahimi

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Learning-Free Unsupervised Extractive Summarization Model by Myeongjun Jang, Pilsung Kang

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Predicting classification errors using NLP-based machine learning algorithms and expert opinions by Peiheng Gao, Chen Yang, Ning Sun, Ričardas Zitikis

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Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources by Hatoon Alharbi, Ali Hur, Hasan Alkahtani, Hafiz Farooq Ahmad

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Dataset on cognitive distortions for text classification in Indonesian languageMendeley Data. by Nyoman Putra Sastra, Linawati, Gede Sukadarmika, I.P.G.H. Suputra, Ni Made Ariwilani, Ni Luh Indah Desira Swandi

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AlKhalil Morpho Sys 2: A robust Arabic morpho-syntactic analyzer by Mohamed Boudchiche, Azzeddine Mazroui, Mohamed Ould Abdallahi Ould Bebah, Abdelhak Lakhouaja, Abderrahim Boudlal

Subjects: “…Natural language processing…”
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A dataset for classifying phrases and sentences into statements, questions, or exclamations based on sound pitchMendeley Data. by Ayub Othman Abdulrahman, Shanga Ismail Othman, Gazo Badran Yasin, Meer Salam Ali

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ABAC access control policy generation technique based on deep learning by Aodi LIU, Xuehui DU, Na WANG, Rui QIAO

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Design and Implementation of Aspect-Based Sentiment Analysis Task by Ningyi Zhang

Subjects: “…natural language processing…”
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An integrated approach of knowledge extraction and ontology-based reasoning for green building evaluation and electricity efficiency by Botong Li, Botong Li, Hongjie Jia, Hongwei Yu, Cong Fu

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A Method of Word Sense Disambiguation with Recurrent Netural Networks by ZHANG Chunxiang, ZHOU Xuesong, GAO Xueyao

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Investigating the relationship between thought interference, somatic passivity and outcomes in patients with psychosis: a natural language processing approach using a clinical records search platform in south London by Robert Stewart, Anna Kolliakou, Jyoti Sanyal, Rashmi Patel, Thibault Thierry Magrangeas

“…Objectives We aimed to apply natural language processing algorithms in routine healthcare records to identify reported somatic passivity (external control of sensations, actions and impulses) and thought interference symptoms (thought broadcasting, insertion, withdrawal), first-rank symptoms traditionally central to diagnosing schizophrenia, and determine associations with prognosis by analysing routine outcomes.Design Four algorithms were developed on deidentified mental healthcare data and applied to ascertain recorded symptoms over the 3 months following first presentation to a mental healthcare provider in a cohort of patients with a primary schizophreniform disorder (ICD-10 F20-F29) diagnosis.Setting and participants From the electronic health records of a large secondary mental healthcare provider in south London, 9323 patients were ascertained from 2007 to the data extraction date (25 February 2020).Outcomes The primary binary dependent variable for logistic regression analyses was any negative outcome (Mental Health Act section, >2 antipsychotics prescribed, >22 days spent in crisis care) over the subsequent 2 years.Results Final adjusted models indicated significant associations of this composite outcome with baseline somatic passivity (prevalence 4.9%; adjusted OR 1.61, 95% CI 1.37 to 1.88), thought insertion (10.7%; 1.24, 95% CI 1.15 to 1.55) and thought withdrawal (4.9%; 1.36, 95% CI 1.10 to 1.69), but not independently with thought broadcast (10.3%; 1.05, 95% CI 0.91 to 1.22).Conclusions Symptoms traditionally central to the diagnosis of schizophrenia, but under-represented in current diagnostic frameworks, were thus identified as important predictors of short-term to medium-term prognosis in schizophreniform disorders.…”
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Correction: Oldrieve, R.M. Teaching K–3 Multi-Digit Arithmetic Computation to Students with Slow Language Processing. <i>Computation</i> 2024, <i>12</i>, 128 by Richard M. Oldrieve

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Graph-Based Extractive Text Summarization Models: A Systematic Review by Abdulkadir Bichi, Pantea Keikhosrokiani, Rohayanti Hassan, Khalil Almekhlafi

Subjects: “…natural languages processing…”
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Transformer-Based Approach for Solving Mathematical Problems Using Automatic Speech Recognition by Ante Grgurevic, Marina Bagic Babac

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