Search

This study explores the relationships among sport stadium visitors’ experiences, satisfaction, team brand image, and destination image. A text mining approach was first used to analyse 26,538 individual reviews from 17 European...

destination image satisfaction Sport stadiums Team brand image text mining Visitor experience /dk/atira/pure/subjectarea/asjc/3300/3305 name=Geography, Planning and Development /dk/atira/pure/subjectarea/asjc/1400/1409 name=Tourism, Leisure and Hospitality Management

Data pooling Machine Learning qualitative data synthesis secondary analysis Social practice Text analytics text mining Algorithms Data Accuracy Data Mining Data Science Databases Factual Female Humans Machine Learning Male Normal Distribution pattern recognition Automated qualitative research Software United Kingdom

Background

In recent years a large volume of clinical genomics data has become available due to rapid advances in sequencing technologies. Efficient exploitation of this genomics data requires linkage to patient...

ontologies text mining UK Biobank Disease–phenotype associations

Abstract: Background: In recent years a large volume of clinical genomics data has become available due to rapid advances in sequencing technologies. Efficient exploitation of this genomics data requires linkage to patient...

Research International Conference on Biomedical Ontologies Direct to Journal Track Disease–phenotype associations ontologies text mining UK Biobank

This paper used web scraping and data mining to analyze 831 health informatics job advertisements on indeed.com. Results showed that 87% of jobs explicitly required a college degree in a related field, 41% of jobs preferred a...

Innovative Applications of Technologies in University - Industry Collaboration to Prepare for the Future of Work employers health informatics job posts job seekers text mining Computer Sciences

PubMed Twitter annotation corpus Natural Language Processing pharmacovigilance text mining

BACKGROUND: This article describes a high-recall, high-precision approach for the extraction of biomedical entities from scientific articles. METHOD: The approach uses a two-stage pipeline, combining a dictionary-based entity...

Machine Learning named entity recognition Natural Language Processing text mining Algorithms Data Mining Machine Learning Neural Networks Computer pattern recognition Automated Reproducibility of Results semantics Terminology as Topic Vocabulary Controlled

Disease–phenotype associations ontologies text mining UK Biobank Data Mining Databases Factual Humans Knowledge Bases Phenomics Phenotype

In this pilot study, we explore the feasibility and accuracy of using a query in a commercial natural language processing engine in a named entity recognition and normalization task to extract a wide spectrum of clinical...

annotation Clinical letters Gold standard named entity recognition Natural Language Processing text mining

Conversational agents are increasingly being used by the general population due to shortages in healthcare providers and specialists, and limited access to treatments. They are also used by people to deal with loneliness and...

Personal Health and Wellness Management with Technologies Artificial Intelligence conversational agents design features social chatbots text mining Computer Sciences

In scoping reviews, boundaries of relevant evidence may be initially fuzzy, with refined conceptual understanding of interventions and their proposed mechanisms of action an intended output of the scoping process rather than its...

scoping review methods study selection systematic review methods text mining Data Mining Machine Learning Natural Language Processing pattern recognition Automated Periodicals as Topic Review Literature as Topic Vocabulary Controlled Workload

This study explores the relationships among sport stadium visitors’ experiences, satisfaction, team brand image, and destination image. A text mining approach was first used to analyse 26,538 individual reviews from 17 European...

destination image satisfaction Sport stadiums Team brand image text mining Visitor experience /dk/atira/pure/subjectarea/asjc/3300/3305 name=Geography, Planning and Development /dk/atira/pure/subjectarea/asjc/1400/1409 name=Tourism, Leisure and Hospitality Management

Abstract: In this pilot study, we explore the feasibility and accuracy of using a query in a commercial natural language processing engine in a named entity recognition and normalization task to extract a wide spectrum of...

RESEARCH ARTICLE Natural Language Processing named entity recognition Clinical letters Gold standard text mining annotation