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Showing 17 of 17 academic articles

A Systematic Review of Deep Learning Approaches for Information Disorder Detection on Social Media: The Context of Misinformation, Disinformation, and Mal-information

Andualem Woldegiorgis, Mohammed Abebe, Durga Prasad Sharma, Worku Jimma • International Journal of Emerging Research in Engineering, Science, and Management (2026)

Social media platforms have become powerful tools for communication, information exchange, networking, and community building. However, their widespread use has facilitated the proliferation of misinformation, disinformation, and mal-inform...

DOAJ Open Access (DOAJ) DOI: 10.58482/ijeresm.v5i2.3

Exploring Practical Paths for the "Last Mile" of Public Digital Cultural Services: An Investigation Based on the Construction of the National Public Culture Cloud Platform

JIN Jiaqin • Nongye tushu qingbao xuebao (2026)

[Purpose/Significance] The delivery of public cultural services at the grassroots level is a key issue in developing China's modern public cultural service system. Although digital technology has created new possibilities for wider access t...

DOAJ Open Access (DOAJ) DOI: 10.13998/j.cnki.issn1002-1248.26-0095

Client or Volunteer? Understanding Neoliberalism and Neocolonialism Within International Volunteer Health Work

Oona St-Amant, Catherine Ward-Griffin, Helene Berman, Arja Vainio-Mattila • Global Qualitative Nursing Research (2018)

As international volunteer health work increases globally, research pertaining to the social organizations that coordinate the volunteer experience in the Global South has severely lagged. The purpose of this ethnographic study was to criti...

DOAJ Open Access (DOAJ) DOI: 10.1177/2333393618792956

THE ROLE OF NATURAL LANGUAGE PROCESSING

V Geetha, C.K. Gomathy, Mr.D.Sri Datta Vallab Yaratha Yagn, Sai Praneesh • INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2023)

Natural Language Processing (NLP) is a rapidly evolving field in the intersection of computer science, artificial intelligence, and linguistics. This article provides an overview of NLP, tracing its historical development from early rule-ba...

OPENALEX Open Access DOI: https://doi.org/10.55041/ijsrem27094

Natural language processing

Renáta Németh, Júlia Koltai • Intersections (2023)

Natural language processing (NLP) methods are designed to automatically process and analyze large amounts of textual data. The integration of this new-generation toolbox into sociology faces many challenges. NLP was institutionalized outsid...

OPENALEX cc-by DOI: https://doi.org/10.17356/ieejsp.v9i1.871

Forecasting student achievement in MOOCs with natural language processing

Carly D. Robinson, Michael Yeomans, Justin Reich, Chris S. Hulleman et al. • International Conference on Learning Analytics and Knowledge (LAK) (2016)

Student intention and motivation are among the strongest predictors of persistence and completion in Massive Open Online Courses (MOOCs), but these factors are typically measured through fixed-response items that constrain student expressio...

OPENALEX DOI: https://doi.org/10.1145/2883851.2883932

Natural Language Processing

Matthew N. O. Sadiku, Yu Ping Zhou, Sarhan M. Musa • International Journal of Advances in Scientific Research and Engineering (2018)

Natural language processing (NLP) refers to the field of study that focuses on the interactions between human language and computers. It is a computational approach to text analysis. It is the application of a wide range of computational te...

OPENALEX cc-by-nc DOI: https://doi.org/10.31695/ijasre.2018.32708

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton et al. • Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) (2020)

We introduce Sta n z a , an open-source Python natural language processing toolkit supporting 66 human languages.Compared to existing widely used toolkits, Sta n z a features a language-agnostic fully neural pipeline for text analysis, incl...

OPENALEX cc-by DOI: https://doi.org/10.18653/v1/2020.acl-demos.14

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

Content Analysis of Medical Research Articles: A corpus-based study

Maryam Salami, Zahra Sadat Jalali, Maryam Pakdaman Naeini, Mohammad Alaei Arani • مدیریت اطلاعات سلامت (2015)

Introduction: Content analysis applied for comparing texts, a writer’s works with others or the same author, the texts written in a natural language with texts in other languages literature and review of specialized field. The present study...

DOAJ Open Access (DOAJ)

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

Some results of the digital analysis of the semantic similarity of audiovisual translation texts (based on the films directed by Denis Villeneuve)

Aishat I. Lepshakova, Oleg V. Kurskikh • Актуальные проблемы филологии и педагогической лингвистики (2025)

The article analyses different translation versions of science fiction films directed by Denis Villeneuve with the aim of determining their semantic similarity through NLP analysis. There are four groups of metrics used in text analysis: se...

DOAJ Open Access (DOAJ) DOI: 10.29025/2079-6021-2025-1-132-150

Efficacy of ChatGPT in Cantonese Sentiment Analysis: Comparative Study

Ziru Fu, Yu Cheng Hsu, Christian S Chan, Chaak Ming Lau et al. • Journal of Medical Internet Research (2024)

BackgroundSentiment analysis is a significant yet difficult task in natural language processing. The linguistic peculiarities of Cantonese, including its high similarity with Standard Chinese, its grammatical and lexical uniqueness, and its...

DOAJ Open Access (DOAJ) DOI: 10.2196/51069