The Power of Words from the 2024 United States Presidential Debates: A Natural Language Processing Approach by Ana Lorena Jiménez-Preciado, José Álvarez-García, Salvador Cruz-Aké, Francisco Venegas-Martínez

Subjects: Get full text

Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study by Daphna Y Spiegel, Isabel D Friesner, William Zhang, Travis Zack, Gianna Yan, Julia Willcox, Nicolas Prionas, Lisa Singer, Catherine Park, Julian C Hong

“…ObjectiveThe goal of this study was to compare sentiments and associated emotions in social media discussions surrounding BCS and mastectomy using natural language processing (NLP). MethodsReddit posts and comments from the Reddit subreddit r/breastcancer and associated metadata were collected using pushshift.io. …”
Get full text

Progressive Detection of Uncertainty in Natural Language Processing Using a Labeled Variable Dimension Kalman Filter by Lingaraj K., S. Supreeth, Yerriswamy T., Dayananda P., Rohith S., Shruthi G.

“…Owing to rapid advancements in information and communication technology, natural language processing (NLP) methods have attracted considerable attention. …”
Get full text

Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review by Dmitry A Scherbakov, Nina C Hubig, Leslie A Lenert, Alexander V Alekseyenko, Jihad S Obeid

“… Abstract BackgroundThe use of natural language processing (NLP) in mental health research is increasing, with a wide range of applications and datasets being investigated. …”
Get full text

Optimizing biochar for carbon sequestration: a synergistic approach using machine learning and natural language processing by Jiayi Li, Yixuan Chen, Chaojie Wang, Hanbo Chen, Yurong Gao, Jun Meng, Zhongyuan Han, Lukas Van Zwieten, Yi He, Caibin Li, Gerard Cornelissen, Hailong Wang

“…Machine learning (ML) and natural language processing (NLP) offer solutions through enhanced data analysis and pattern recognition, ushering in a new era of biochar research. …”
Get full text

Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review by Swati Rajwal, Ziyuan Zhang, Yankai Chen, Hannah Rogers, Abeed Sarker, Yunyu Xiao

“… BackgroundIn recent years, the intersection of natural language processing (NLP) and public health has opened innovative pathways for investigating social determinants of health (SDOH) in textual datasets. …”
Get full text

Adverse drug event detection using natural language processing: A scoping review of supervised learning methods. by Rachel M Murphy, Joanna E Klopotowska, Nicolette F de Keizer, Kitty J Jager, Jan Hendrik Leopold, Dave A Dongelmans, Ameen Abu-Hanna, Martijn C Schut

“…To reduce adverse drug events (ADEs), hospitals need a system to support them in monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing (NLP), a computerized approach to analyze text data, has shown promising results for the purpose of ADE detection in the context of pharmacovigilance. …”
Get full text

Automated class diagram elicitation using intermediate use case template by Shweta, Ratna Sanyal, Bibhas Ghoshal

Subjects: Get full text

A Computational Approach to Understanding Agglutinative Structures in Urdu by Muhammad Shoaib Tahir, Mahnoor Amjad

Subjects: Get full text

Fault Diagnosis of Signal Equipment on the Lanzhou-Xinjiang High-Speed Railway Using Machine Learning for Natural Language Processing by Lei Shi, Yulin Zhu, Youpeng Zhang, Zhongji Su

“…In this paper, a method based on natural language processing (NLP) was adopted to analyze and classify this information. …”
Get full text

Using Natural Language Processing Models to Automate Text Labelling: Categorising Semantic Density in Preservice Teachers' Lesson Observation Reports by Thato Senoamadi, Lee Rusznyak, Ritesh Ajoodha

Subjects: “…natural language processing…”
Get full text

Psychological and Behavioral Insights From Social Media Users: Natural Language Processing–Based Quantitative Study on Mental Well-Being by Xingwei Yang, Guang Li

“…MethodsWe extracted language patterns via natural language processing approaches that facilitate understanding contextual and psychological factors, such as affective patterns and personality traits linked with depression. …”
Get full text

Attitudes of radiologists and interns toward the adoption of GPT-like technologies: a National Survey Study in China by Tianyi Xia, Shijun Zhang, Ben Zhao, Ying Lei, Zebin Xiao, Bingwei Chen, Junhao Zha, Yaoyao Yu, Zhijun Wu, Chunqiang Lu, Tianyu Tang, Yang Song, Yuancheng Wang, Shenghong Ju

Subjects: Get full text

open-japanese-mesh: assigning MeSH UIDs to Japanese medical terms via open Japanese-English glossaries by Ryota Yamada, Yuka Tatieisi

Subjects: Get full text

Evolving techniques in sentiment analysis: a comprehensive review by Mahander Kumar, Lal Khan, Hsien-Tsung Chang

Subjects: Get full text

Context-dependent similarity analysis of analogue series for structure–activity relationship transfer based on a concept from natural language processing by Atsushi Yoshimori, Jürgen Bajorath

“…Central to the approach is the assessment of context-dependent similarity for substituents, a new concept in cheminformatics, which is based upon vector embeddings and word pair relationships adapted from natural language processing.…”
Get full text

Fake News Detection and Classification: A Comparative Study of Convolutional Neural Networks, Large Language Models, and Natural Language Processing Models by Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos

Get full text

An empirical evaluation of electronic annotation tools for Twitter data by Davy Weissenbacher, Karen O'Connor, Aiko T. Hiraki, Jin-Dong Kim, Graciela Gonzalez-Hernandez

Subjects: Get full text

PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts by Jordi Armengol-Estapé, Felipe Soares, Montserrat Marimon, Martin Krallinger

Subjects: Get full text

Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

Subjects: Get full text