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Digital footprints as a tool to evaluate the spatiotemporal environmental impacts of grocery shopping across Great Britain

Gavin Long, Evgeniya Lukinova, John Harvey, Joanne Parkes et al. • International Journal of Population Data Science (2025)

Introduction & Background Climate change represents one of the most pressing challenges of our time. Within this context, the food sector is a critical domain for intervention, accounting for approximately one-third of global greenhouse gas...

DOAJ Open Access (DOAJ) DOI: 10.23889/ijpds.v10i5.3336

Natural Language Processing

Julia Hirschberg, Bruce W. Ballard, Donald M. Hindle • AT&T Technical Journal (1988)

Researchers in natural language processing (NLP) apply computational techniques to the understanding and generation of human language. Currently, we are focusing on the development of grammatical formalisms and parsing algorithms, appropria...

OPENALEX DOI: https://doi.org/10.1002/j.1538-7305.1988.tb00232.x

Natural Language Processing

Stuti Patel • International Journal of Science and Research (IJSR) (2023)

Natural language processing is widely discussed and researched topic nowadays.As it is one of the oldest areas of research in machine leaning it is used in major fields such as machine translation speech recognition and text processing.Natu...

OPENALEX cc-by DOI: https://doi.org/10.21275/sr23216193027

Natural Language Processing

Oi Yee Kwong • Routledge eBooks (2023)

The primary concern of natural language processing is the design and implementation of computational systems for analysing and understanding human languages to automate certain real-life tasks demanding human language abilities. It is typic...

OPENALEX DOI: https://doi.org/10.4324/9781003168348-41

A rule-based stemmer for Arabic Gulf dialect

Belal Abuata, Asma Al-Omari • Journal of King Saud University: Computer and Information Sciences (2015)

Arabic dialects arewidely used from many years ago instead of Modern Standard Arabic language in many fields. The presence of dialects in any language is a big challenge. Dialects add a new set of variational dimensions in some fields like ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jksuci.2014.04.003

Using 311 data to develop an algorithm to identify urban blight for public health improvement.

Jessica Athens, Setu Mehta, Sophie Wheelock, Nupur Chaudhury et al. • PLoS ONE (2020)

The growth of administrative data made available publicly, often in near-real time, offers new opportunities for monitoring conditions that impact community health. Urban blight-manifestations of adverse social processes in the urban enviro...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0235227

Natural Language Processing

Yasha Hasija, Rajkumar Chakraborty • CRC Press eBooks (2021)

Natural language processing is a fast-evolving field with popular applications in language translation, speech recognition, text classification, and summarization of text, among others. The central aspect of NLP is vectorizing text data. Te...

OPENALEX DOI: https://doi.org/10.1201/9781003090113-15-15

USE OF ARTIFICIAL INTELLIGENCE TO IDENTIFY AND CORRECT MISCONCEPTIONS ABOUT RADIATION

Oleksandr Tymoshchuk • Інформаційні технології і засоби навчання (2025)

The expansion of nuclear technologies in various industries, combined with the constant threat of radiation-related incidents, highlights the urgent need for effective radiation education. This study is devoted to an empirical investigation...

DOAJ Open Access (DOAJ) DOI: 10.33407/itlt.v105i1.5905

Integrating NLP to Enhance Algorithmic Identification of Metastatic and Castration‐Resistant Prostate Cancer in Large Claims‐Based Studies

Shannon R. Stock, Joshua A. Parrish, Michael T. Burns, Jessica L. Janes et al. • Cancer Medicine (2025)

ABSTRACT Purpose Accurate classification of prostate cancer (PC) disease states defined by the presence or absence of metastasis and castration resistance (CRPC) is critical but challenging in population‐based research. As chart review is n...

DOAJ Open Access (DOAJ) DOI: 10.1002/cam4.71406

Brains and algorithms partially converge in natural language processing

Charlotte Caucheteux, Jean-Rémi King • Communications Biology (2022)

Deep learning algorithms trained to predict masked words from large amount of text have recently been shown to generate activations similar to those of the human brain. However, what drives this similarity remains currently unknown. Here, w...

OPENALEX cc-by DOI: https://doi.org/10.1038/s42003-022-03036-1 PMC: 8850612

Natural language processing

Alexander F. Gelbukh • International Conference on Hybrid Intelligent Systems (HIS) (2005)

Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, th...

OPENALEX DOI: https://doi.org/10.1109/ichis.2005.79

Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review

Maria Frasca, Davide La Torre, Gabriella Pravettoni, Ilaria Cutica • Discover Artificial Intelligence (2024)

Abstract This review aims to explore the growing impact of machine learning and deep learning algorithms in the medical field, with a specific focus on the critical issues of explainability and interpretability associated with black-box alg...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-024-00114-7

Cracking the code: AI’s role in mapping evidence syntheses to the United Nations sustainable development goals

Bianca Pilla, Jennifer Stone, Zoe Jordan • Archives of Public Health (2025)

Abstract Background Understanding the alignment and contributions of research to the United Nations Sustainable Development Goals (UN SDGs) is essential for guiding global progress toward these critical targets. Several SDG mapping approach...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13690-025-01784-0