Results 61 to 70 of about 43,662 (265)

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

The Influence of Presidential Debate Comment Sentiment on YouTube on Candidate Electability: Naïve Bayes and Pearson Analysis

Journal of Information Systems and Informatics
Campaigns significantly influence candidate electability. Presidential debates, a key campaign strategy, generate extensive public comments on social media, reflecting voter sentiment.
Arnoldus Yitzhak Petra Manoppo, Wirawan Istiono   +1 more
doaj   +1 more source

A Neutrosophic Approach to Improving Sentiment Classification Accuracy in Social Media Analytics [PDF]

Neutrosophic Sets and Systems
Traditional sentiment analysis methods often struggle with the inherent ambiguity and uncertainty present in social media text, where opinions can be simultaneously positive, negative, and neutral.
Raad A. Qasim, Sajjad abbas, Habeeb Noori Jumaah, Maher Khalaf Hussein, Huda E. Khalid   +4 more
doaj   +1 more source

Understanding the Burden of Orofacial Involvement and Patient Treatment Preferences in Systemic Sclerosis: Results From a Large International Survey

Arthritis Care &Research, EarlyView.
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni, Lee Shapiro, Deana Gibbs, Zsuzsanna H. McMahan, Michael Hughes   +4 more
wiley   +1 more source

Text Sentiment Mining used for Constructing Investor Sentiment in Social Media: Survey and Recommendations

SAGE Open
The measurement of investor sentiment in social media remains a challenging and unresolved issue. The lack of transparency in sentiment tracking tools and survey methodologies in financial research complicates the distinction between measurement noise ...
Qing Liu, Hosung Son
doaj   +1 more source

Longitudinal Changes in Adiposity after a Youth Sport‐Related Knee Injury: Informing Post‐Traumatic Osteoarthritis Prevention

Arthritis Care &Research, Accepted Article.
Objective Youth who experience a sport‐related knee injury have elevated odds of overweight or obesity in 3‐10 years, compounding their risk for post‐traumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth in the 2‐year period ...
Justin M. Losciale, Nuria EJ Jansen, Christina Y. Le, Leo Lu, Hui Xie, Marienke van Middelkoop, Jackie L. Whittaker   +6 more
wiley   +1 more source

Social Sentiment Analysis

International Journal of Advanced Research in Science, Communication and Technology
Sentiment analysis is an essential technique for extracting subjective information from text data, providing valuable insights into users' opinions and emotions. This project focuses on implementing sentiment analysis for WhatsApp group, a messaging platform, to automatically assess the sentiment of user-generated content. By Utilising natural language
null Charles Manuel Ngalawa, null Ulemu Mponela   +1 more
openaire   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Estimating time-series changes in social sentiment @Twitter in U.S. metropolises during the COVID-19 pandemic. [PDF]

J Comput Soc Sci, 2023
Saito R, Haruyama S.
europepmc   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source