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Academic Articles & Research Papers
Showing 20 of 2,192 academic articles
Uma Shanker Tiwary, Tanveer Jahan Siddiqui (2008)
Natural Language Processing and Information Retrieval is a textbook designed to meet the requirements of engineering students pursuing undergraduate and postgraduate programs in computer science and information technology. The book attempts...
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L. Siddharth, Lucienne T. M. Blessing, Jianxi Luo • Design Science
(2022)
Abstract We review the scholarly contributions that utilise natural language processing (NLP) techniques to support the design process. Using a heuristic approach, we gathered 223 articles that are published in 32 journals within the period...
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DOI: https://doi.org/10.1017/dsj.2022.16
Lucas Francisco Amaral Orosco Pellicer, Taynan Maier Ferreira, Anna Helena Reali Costa • Applied Soft Computing
(2022)
Data Augmentation (DA) methods – a family of techniques designed for synthetic generation of training data – have shown remarkable results in various Deep Learning and Machine Learning tasks. Despite its widespread and successful adoption w...
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DOI: https://doi.org/10.1016/j.asoc.2022.109803
Safura Mohamed Kallier-Tar, Monique Du Bruyn • Frontiers in Communication
(2026)
Background/IntroductionThe success of influencer marketers' posts on social media often hinges on the influencer's ability to resonate with their audience through the language that they use. By leveraging their unique language cues and comm...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fcomm.2026.1799090
Prottay Kumar Adhikary, Isha Motiyani, Gayatri Oke, Maithili Joshi et al. • Journal of Medical Internet Research
(2025)
Abstract
BackgroundThe quality and accessibility of menstrual health education (MHE) in low- and middle-income countries, including India, remain inadequate due to persistent challenges (eg, poverty, social stigma, and gender in...
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Open Access (DOAJ)
DOI: 10.2196/71977
Nadia Mushtaq Gardazi, Ali Yusny Daud, Muhammad Kamran Malik, Amal Abdullah Bukhari et al. • Artificial Intelligence Review
(2025)
BERT (Bidirectional Encoder Representations from Transformers) has revolutionized Natural Language Processing (NLP) by significantly enhancing the capabilities of language models. This review study examines the complex nature of BERT, inclu...
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DOI: https://doi.org/10.1007/s10462-025-11162-5
Dheya Mustafa, Safaa M. Khabour, Mousa Al-kfairy, Ahmed Shatnawi • PeerJ Computer Science
(2025)
Companies that deliver food (food delivery services, or FDS) try to use customer feedback to identify aspects where the customer experience could be improved. Consumer feedback on purchasing and receiving goods via online platforms is a cru...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj-cs.2669
Gaurav Mohindru, Koushik Mondal, Haider Banka • CAAI Transactions on Intelligence Technology
(2021)
Abstract In the era of automatic task processing or designing complex algorithms, to analyse data, it is always pertinent to find real‐life solutions using cutting‐edge tools and techniques to generate insights into the data. The data‐drive...
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Open Access (DOAJ)
DOI: 10.1049/cit2.12032
TAO Cuihua, HU Yingsen, LIAO Xin, TANG Hongling et al. • Zhongguo shuxue zazhi
(2025)
[Objective] To improve the efficiency and standardization of preoperative anemia diagnosis and treatment by establishing a systematic intelligent management platform for preoperative anemia. [Methods] A multidisciplinary collaborative model...
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Open Access (DOAJ)
DOI: 10.13303/j.cjbt.issn.1004-549x.2025.09.019
Nana A Mensah, Michael J Fassett, Nehaa Khadka, Jiaxiao M Shi et al. • JMIR Research Protocols
(2025)
BackgroundHemolytic disease of the fetus and newborn (HDFN) is a rare but serious condition caused by maternal-fetal red blood cell antigen incompatibility. In an affected pregnancy, maternal immunoglobulin G antibodies cross the placenta a...
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Open Access (DOAJ)
DOI: 10.2196/77836
Cristian Soto Jacome, MD, Danny Segura Torres, MD, Jungwei W. Fan, PhD, Ricardo Loor-Torres, MD et al. • Mayo Clinic Proceedings: Digital Health
(2024)
Objective: To address thyroid cancer overdiagnosis, we aim to develop a natural language processing (NLP) algorithm to determine the appropriateness of thyroid ultrasounds (TUS). Patients and Methods: Between 2017 and 2021, we identified 18...
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Open Access (DOAJ)
DOI: 10.1016/j.mcpdig.2024.01.001
Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann et al. • IEEE Transactions on Computational Biology and Bioinformatics
(2018)
This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenotyping has numerous applications including diagnosis categori...
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Open Access
DOI: https://doi.org/10.1109/tcbb.2018.2849968
PMC: 6388621
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...
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DOI: https://doi.org/10.4324/9781003168348-41
Glen Coppersmith, Ryan Leary, Patrick Crutchley, Alex B. Fine • Biomedical Informatics Insights
(2018)
Suicide is among the 10 most common causes of death, as assessed by the World Health Organization. For every death by suicide, an estimated 138 people's lives are meaningfully affected, and almost any other statistic around suicide deaths i...
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DOI: https://doi.org/10.1177/1178222618792860
PMC: 6111391
Susilowati, Aprizal, Dyah Indriana Kusumastuti • Discover Artificial Intelligence
(2026)
Abstract This study introduces an ensemble machine learning (EML) framework to enhance short-duration rainfall-intensity prediction under limited-data conditions. By integrating multiple base learners within a stacking architecture, the pro...
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Open Access (DOAJ)
DOI: 10.1007/s44163-026-01772-5
Zabir Al Nazi, Wei Peng • Informatics
(2024)
The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable ability to provide proficient responses to free-text queries, demonstrating a nuan...
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Open Access (DOAJ)
DOI: 10.3390/informatics11030057
Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria • IEEE Computational Intelligence Magazine
(2018)
Deep learning methods employ multiple processing layers to learn hierarchical representations of data, and have produced state-of-the-art results in many domains. Recently, a variety of model designs and methods have blossomed in the contex...
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Open Access
DOI: https://doi.org/10.1109/mci.2018.2840738
Hankiz Yilahun, Hangtian Zhao, Askar Hamdulla • Applied Sciences
(2025)
Few-shot relation extraction (RE) is a critical task in natural language processing (NLP), yet benchmark datasets for non-English languages, particularly Chinese, remain scarce. Owing to their narrow focus and insufficient coverage of relat...
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Open Access (DOAJ)
DOI: 10.3390/app15031045
Jiaqi Fu, Chaixiu Li, Chunlan Zhou, Wenji Li et al. • Journal of Medical Internet Research
(2023)
BackgroundGiven the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews ...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/43349
Hamood ALshalabi, Sabrina Tiun, Nazlia Omar, Kamal Ali Alezabi et al. • International Journal of Information Science and Management
(2022)
Other languages have influenced Arabic because of several factors, such as geographical nearness, trade communication, past Islamic conquests, science and technology, new devices, brand names, models, and fashion. As a result of these facto...
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Open Access (DOAJ)