Reset
Showing 20 of 20 academic articles

Identification and structural analysis of the interactional effect of the change drivers on the field of education

Zohre Rahsepar, Keyvan Salehi, Mitra Ezati, Mohammad Mehdi Zolfaghar Zade Kermani • فصلنامه نوآوری‌های آموزشی (2019)

Due to its wide range and importance, the education system has very important and complex elements that if we neglect to monitor their future variations, it can lead to undeniable and profound damages to the results that are expected to be ...

DOAJ Open Access (DOAJ) DOI: 10.22034/jei.2019.92888

Expertise, Knowledge, and Resilience in #AcademicTwitter: Enacting Resilience-Craft in a Community of Practice

Sean M. Eddington, Caitlyn Jarvis • Media and Communication (2022)

Online communities of practice are a useful professional development space, where members can exchange information, aggregate expertise, and find support. These communities have grown in popularity within higher education—especially on soci...

DOAJ Open Access (DOAJ) DOI: 10.17645/mac.v10i2.5053

Lockdown and Breakdown in Italians' Reactions on Twitter during the First Phase of Covid-19

Giovanni Boccia Artieri, Francesca Greco, Gevisa La Rocca • Partecipazione e Conflitto (2021)

The article focuses on Italians' reactions to the pandemic on Twitter. During the first phase of the 2020 lockdown (from the beginning of March 2020 - to the beginning of May 2020), a real-time dataset was built, linking data scratching to ...

DOAJ Open Access (DOAJ) DOI: 10.1285/i20356609v14i1p261

Disentangling organizational agility from flexibility, adaptability, and versatility: a systematic review

Eskedar Gizat Desalegn, Maria João Coelho Guedes, Jorge Filipe Da Silva Gomes, Shiferaw Mitiku Tebeka • Future Business Journal (2024)

Abstract Organizational agility is the ability of an organization to swiftly and efficiently respond to changes in the organization’s environment. However, the literature demonstrates the interchangeability of agility, flexibility, adaptabi...

DOAJ Open Access (DOAJ) DOI: 10.1186/s43093-024-00405-6

Effectiveness of Social Cognitive Theory–Based Interventions for Glycemic Control in Adults With Type 2 Diabetes Mellitus: Protocol for a Systematic Review and Meta-Analysis

Smith, Yvonne, Garcia-Torres, Rosalia, Coughlin, Steven S, Ling, Jiying et al. • JMIR Research Protocols (2020)

BackgroundFor those living with type 2 diabetes mellitus (T2DM), failing to engage in self-management behaviors leads to poor glycemic control. Social cognitive theory (SCT) has been shown to improve health behaviors by altering cognitive p...

DOAJ Open Access (DOAJ) DOI: 10.2196/17148

Personalized insights into urinary tract infection management: A text mining analysis of online consultation data

Ruijie Tang, Peiqi Zhu, Ruxue Yan, Yaping Zhou et al. • Digital Health (2025)

Objectives Urinary tract infections (UTIs) frequently affect individuals of all ages, necessitating antibiotic treatment and medical care, which can impair quality of life and cause psychological strain. Online Health Consultation (OHC) pla...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076251393289

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

Text Mining in Cybersecurity

Luciano Ignaczak, Guilherme Goldschmidt, Cristiano André da Costa, Rodrigo da Rosa Righi • ACM Computing Surveys (2021)

The growth of data volume has changed cybersecurity activities, demanding a higher level of automation. In this new cybersecurity landscape, text mining emerged as an alternative to improve the efficiency of the activities involving unstruc...

OPENALEX DOI: https://doi.org/10.1145/3462477

Survey of Natural Language Processing Techniques in Bioinformatics

Zhiqiang Zeng, Hua Wang Shi, Yun Wu, Zhiling Hong • Computational and Mathematical Methods in Medicine (2015)

Informatics methods, such as text mining and natural language processing, are always involved in bioinformatics research. In this study, we discuss text mining and natural language processing methods in bioinformatics from two perspectives....

OPENALEX cc-by DOI: https://doi.org/10.1155/2015/674296 PMC: 4615216

Data-driven materials research enabled by natural language processing and information extraction

Elsa Olivetti, Jacqueline M. Cole, Edward Kim, Olga Kononova et al. • Applied Physics Reviews (2020)

Given the emergence of data science and machine learning throughout all aspects of society, but particularly in the scientific domain, there is increased importance placed on obtaining data. Data in materials science are particularly hetero...

OPENALEX other-oa DOI: https://doi.org/10.1063/5.0021106

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

Biomedical Natural Language Processing

Kevin Bretonnel Cohen, Dina Demner‐Fushman • Natural language processing (2014)

Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the per...

OPENALEX DOI: https://doi.org/10.1075/nlp.11

Deep learning for sentiment analysis: A survey

Lei Zhang, Shuai Wang, Bing Liu • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2018)

Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state‐of‐the‐art prediction results. Along with the success of deep learning in many appl...

OPENALEX Open Access DOI: https://doi.org/10.1002/widm.1253

Machine learning in bioinformatics

Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza et al. • Briefings in Bioinformatics (2006)

This article reviews machine learning methods for bioinformatics. It presents modelling methods, such as supervised classification, clustering and probabilistic graphical models for knowledge discovery, as well as deterministic and stochast...

OPENALEX Open Access DOI: https://doi.org/10.1093/bib/bbk007