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Analyzing Sentiments in eLearning: A Comparative Study of Bangla and Romanized Bangla Text Using Transformers

Md Akash Rahman, Manoara Begum, Tanjim Mahmud, Mohammad Shahadat Hossain et al. • IEEE Access (2024)

In the modern world, learning is becoming increasingly critical due to rapid technological breakthroughs, which highlight the need for continuous skill development in both the personal and professional spheres. As a result, eLearning is a c...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3419024

Text Filtering through Multi-Pattern Matching: A Case Study of Wu–Manber–Uy on the Language of Uyghur

Turdi Tohti, Jimmy Huang, Askar Hamdulla, Xing Tan • Information (2019)

Given its generality in applications and its high time-efficiency on big data-sets, in recent years, the technique of text filtering through pattern matching has been attracting increasing attention from the field of information retrieval a...

DOAJ Open Access (DOAJ) DOI: 10.3390/info10080246

Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA

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...

DOAJ Open Access (DOAJ) DOI: 10.2196/71977

Natural language processing for information assurance and security

Mikhail J. Atallah, Craig Jerome Mcdonough, Victor Raskin, Sergei Nirenburg • New Security Paradigms Workshop (2001)

This research paper explores a promising interface between natural language processing (NLP) and information assurance and security (IAS). More specificall~ it is devoted to possible applications to, and further dedicated development of, th...

OPENALEX DOI: https://doi.org/10.1145/366173.366190

Optimising Contextual Embeddings for Meaning Conflation Deficiency Resolution in Low-Resourced Languages

Mosima A. Masethe, Sunday O. Ojo, Hlaudi D. Masethe • Computers (2025)

Meaning conflation deficiency (MCD) presents a continual obstacle in natural language processing (NLP), especially for low-resourced and morphologically complex languages, where polysemy and contextual ambiguity diminish model precision in ...

DOAJ Open Access (DOAJ) DOI: 10.3390/computers14090402

Revenue-sensitive evaluation of AI-assisted ICD-10-CM coding and human-AI collaboration under dual DRG payment systems

Ming-I. Chen, Ying-Lin Hsu, Yi-Hsin Chen • Scientific Reports (2026)

Abstract Automated ICD-10-CM coding is critical for hospital reimbursement under Diagnosis-Related Group (DRG) payment systems, yet standard metrics weight all errors equally. This study evaluated 11 models on MIMIC-IV under heterogeneous c...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-57682-0

Gender biases in GPT-4 short biographies.

Anna-Maria De Cesare • Linguistik Online (2026)

As has been shown in various studies considering different languages, in professional contexts women tend to be referred to differently than men. While men are typically referred to by their surname (e. g., Fermi), women are more often refe...

DOAJ Open Access (DOAJ) DOI: 10.13092/tsh3js82

Natural language processing of lyrics

Jose P. G. Mahedero, Álvaro Parafita Martínez, Pedro Cano, Markus Koppenberger et al. • ACM International Conference on Multimedia (ACM MM) (2005)

We report experiments on the use of standard natural language processing (NLP) tools for the analysis of music lyrics. A significant amount of music audio has lyrics. Lyrics encode an important part of the semantics of a song, therefore the...

OPENALEX DOI: https://doi.org/10.1145/1101149.1101255

Explainable hybrid deep learning framework for air quality index prediction in Indian cities

Priyal Singhal, Praneet Saurabh, Mayank Sharma, Jyoti Badge et al. • Discover Artificial Intelligence (2026)

Abstract Air pollution constitutes one of the most pressing environmental and public health crises of the twenty-first century, disproportionately affecting rapidly urbanising nations such as India. Accurate prediction of the Air Quality In...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-02131-0

Caps Captioning: A Modern Image Captioning Approach Based on Improved Capsule Network

Shima Javanmardi, Ali Mohammad Latif, Mohammad Taghi Sadeghi, Mehrdad Jahanbanifard et al. • Sensors (2022)

In image captioning models, the main challenge in describing an image is identifying all the objects by precisely considering the relationships between the objects and producing various captions. Over the past few years, many methods have b...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22218376

Natural language processing

Angel R. Martinez • Wiley Interdisciplinary Reviews Computational Statistics (2010)

Abstract Approximately 40 years ago, the goal of endowing computers with the capacity to understand natural language began. These efforts were originally callednatural language understanding, which is now more frequently callednatural langu...

OPENALEX DOI: https://doi.org/10.1002/wics.76

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

State of Art for Semantic Analysis of Natural Language Processing

Dastan Hussen Maulud, Subhi R. M. Zeebaree, Karwan Jacksi, Mohammed Mohammed Sadeeq et al. • Qubahan Academic Journal (2021)

Semantic analysis is an essential feature of the NLP approach. It indicates, in the appropriate format, the context of a sentence or paragraph. Semantics is about language significance study. The vocabulary used conveys the importance of th...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.48161/qaj.v1n2a40

Ensembles machine learning for short duration rainfall intensity forecasting

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...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-01772-5

Empowering text classification with NLP and explainable AI for enhanced interpretability

Sumaya Mustafa, Mariwan Hama Saeed • Journal of Electrical Systems and Information Technology (2025)

Abstract Artificial intelligence (AI) models have demonstrated significant success in classifying various types of text. However, the complex nature of these models often complicates the interpretability of their classifications. To address...

DOAJ Open Access (DOAJ) DOI: 10.1186/s43067-025-00273-2