Results 21 to 30 of about 22,717 (258)

A Tag Recommendation Hybrid Model for Social Annotation Systems

open access: yesEnfoque UTE, 2020
El etiquetado social consiste en clasificar recursos web, con el uso de palabras o etiquetas libremente elegidas por los usuarios. La simplicidad y apertura de los sistemas de etiquetado social para organizar recursos, es la clave de su éxito en Internet.
Portilla Olvera, Elías   +1 more
openaire   +1 more source

Resource recommendation in social annotation systems: A linear-weighted hybrid approach

open access: yesJournal of Computer and System Sciences, 2012
AbstractSocial annotation systems enable the organization of online resources with user-defined keywords. Collectively these annotations provide a rich information space in which users can discover resources, organize and share their finds, and connect to other users with similar interests.
Gemmell, Jonathan   +3 more
openaire   +1 more source

Automatic Identification of Narratives: Evaluation Framework, Annotation Methodology, and Dataset Creation

open access: yesIEEE Access
One of the fundamental components of understanding online discourse in social networks is the identification of narratives. For example, the analysis of disinformation campaigns requires some inference about their communication goals that, in turn ...
Jesus M. Fraile-Hernandez   +2 more
doaj   +1 more source

Financial Hazard Prediction Due to Power Outages Associated with Severe Weather-Related Natural Disaster Categories

open access: yesEnergies, 2022
Severe weather conditions not only damage electric power infrastructure, and energy systems, but also affect millions of users, including residential, commercial or industrial consumers.
Rafal Ali   +6 more
doaj   +1 more source

Linking Free Text Documentation of Functioning and Disability to the ICF With Natural Language Processing

open access: yesFrontiers in Rehabilitation Sciences, 2021
Background: Invaluable information on patient functioning and the complex interactions that define it is recorded in free text portions of the Electronic Health Record (EHR).
Denis Newman-Griffis   +7 more
doaj   +1 more source

GASTon: A Graph-Exploration System for Indexing, Annotating and Visualizing PubMed Articles to Enhance the Analysis of Social deTerminants of Health

open access: yesProceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
Many works have shown associations between social determinants of health (SDoH) –the social circumstances in which people live– and health-related outcomes. However, the lack of SDoH data increases the challenges in measuring and understanding their effect on people’s health and health systems.
Bottoni, Simone   +7 more
openaire   +2 more sources

Examining Cannabis, Tobacco, and Vaping Discourse on Reddit: An Exploratory Approach Using Natural Language Processing

open access: yesFrontiers in Public Health, 2022
Background: Perceptions of tobacco, cannabis, and electronic nicotine delivery systems (ENDS) are continually evolving in the United States. Exploring these characteristics through user generated text sources may provide novel insights into product use ...
Ryzen Benson   +4 more
doaj   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski   +59 more
wiley   +1 more source

Experimental Evaluation: Can Humans Recognise Social Media Bots?

open access: yesBig Data and Cognitive Computing
This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as researchers claim, given that bots have become increasingly sophisticated, making it difficult ...
Maxim Kolomeets   +4 more
doaj   +1 more source

Using large language models for extracting and pre-annotating texts on mental health from noisy data in a low-resource language [PDF]

open access: yesPeerJ Computer Science
Recent advancements in large language models (LLMs) have opened new possibilities for developing conversational agents (CAs) in various subfields of mental healthcare.
Sergei Koltcov   +3 more
doaj   +2 more sources

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