Results 91 to 100 of about 4,786 (237)
Classification of Arabic Documents with Five Classifier Models Using Machine Learning
Automated document classification is becoming important and highly required for many applications, particularly in light of the exponential increase of Arabic-language internet documents. Text classification is a big data issue and an essential aspect of
Esraa Najjar +2 more
doaj +1 more source
ABSTRACT Objective To explore, as a part of oral health literacy conceptual content, how migrant mothers utilise oral health‐related information to maintain and promote oral health in their children. Materials and Methods In‐depth interviews were conducted with seven migrant mothers of children up to 10 years old resettled in Kalmar County, Sweden. The
Elena Shmarina +2 more
wiley +1 more source
Exploring Acoustic Overlap in Second Language Vowel Productions
ABSTRACT This study examines the alignment of vowel categories between second language (L2) learners and first language (L1) speakers of the target language, as well as potential overlaps between adjacent vowels in terms of formant frequencies and duration.
Georgios P. Georgiou, Elena Savva
wiley +1 more source
Recently, given the rise of types of social media networks, the analysis of sentiment and opinions in textual data has gained significant importance.
Manar Alfreihat +5 more
doaj +1 more source
Abstract Alongside their continuing growth in the popularity, both practice research in creative disciplines and arts‐based methods in research in the social sciences have histories now spanning several decades. In doctoral education, art and design education research sits within and across two distinct fields – the art and design doctorate and the ...
Sian Vaughan
wiley +1 more source
ABSTRACT Aim(s) To explore how primary care practitioners, including nurses, provide dietary diabetes management to migrants. Design The scoping review followed, a refined and structured methodological framework and adhered to the Joanna Briggs Institute Scoping Review guidelines.
Keycee Silang +3 more
wiley +1 more source
Machine Learning Approach for Arabic Handwritten Recognition
Text recognition is an important area of the pattern recognition field. Natural language processing (NLP) and pattern recognition have been utilized efficiently in script recognition.
A. M. Mutawa +2 more
doaj +1 more source
ABSTRACT Aim To offer a comprehensive overview of the individual and organisational factors related to inclusive leadership among healthcare professionals. Design Systematic review and meta‐analysis. Methods The review was conducted following the Joanna Briggs Institute methodology for systematic reviews of effectiveness.
Vanamo Vilokkinen +4 more
wiley +1 more source
Arabic Text Classification Using Maximum Entropy
In organizations, a large amount of information exists in text documents. Therefore, it is important to use text mining to discover knowledge from these unstructured data. Automatic text classification considered as one of important applications in text mining. It is the process of assigning a text document to one or more predefined categories based on
openaire
ABSTRACT Aims This study aimed to assess the psychological outcomes of family members of patients who were resuscitated in the Emergency Department (ED) and analyse factors associated with these outcomes. Design This study utilised a cross‐sectional design Methods Data were collected using a self‐reported questionnaire sent to family members of ...
Ira Rahmawati +4 more
wiley +1 more source

