Results 111 to 120 of about 22,264,370 (303)
Objective Despite guideline recommendations, long‐term glucocorticoid (GC) use is common in rheumatoid arthritis (RA). We conducted a clinician survey nested within a large registry to identify patient and clinician factors associated with GC use. Methods Clinicians contributing patients to the CorEvitas Rheumatoid Arthritis Registry were surveyed ...
Michael D. George +7 more
wiley +1 more source
Semantic Sentiment Analysis of Twitter [PDF]
Sentiment analysis over Twitter offer organisations a fast and effective way to monitor the publics’ feelings towards their brand, business, directors, etc. A wide range of features and methods for training sentiment classifiers for Twitter datasets have been researched in recent years with varying results.
Hassan Saif, Yulan He 0001, Harith Alani
openaire +3 more sources
Objective Ambulatory care–sensitive conditions (ACSCs) serve as indicators of access, quality, and performance of the health system. This study aimed to determine rheumatoid arthritis (RA)‐specific ACSCs for use in the evaluation of care system access and quality.
Kara Irwin +7 more
wiley +1 more source
On using Twitter to monitor political sentiment and predict election results [PDF]
The body of content available on Twitter undoubtedly contains a diverse range of political insight and commentary. But, to what extent is this representative of an electorate?
Bermingham, Adam, Smeaton, Alan F.
core +2 more sources
Objective The objective of this scoping review was to synthesize evidence on the proportion of individuals living with Sjögren's disease who experience central nervous system (CNS) manifestations. Methods We searched MEDLINE (via PubMed) and Embase from 1980 through January 29, 2026, and the ECRI Guidelines Trust from 2020 through January 29, 2026 ...
Arun Varadhachary +21 more
wiley +1 more source
Exploiting emoticons in sentiment analysis
As people increasingly use emoticons in text in order to express, stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to correctly account for such graphical cues for sentiment. We analyze how emoticons typically convey sentiment and demonstrate how we can exploit this by using a novel, manually created ...
Alexander Hogenboom +5 more
openaire +4 more sources
Survival Outcomes in Older Adults with Axial Spondyloarthritis and Concomitant Cancer
Objective The objective of this study was to determine survival outcomes in older adults with axial spondyloarthritis (axSpA) and concomitant cancer. Methods We conducted a population‐based study using Medicare claims data linked to Surveillance, Epidemiology, and End Results data to determine overall survival (OS) and cancer‐specific survival (CSS) in
Savannah Bowman +7 more
wiley +1 more source
Cooperative Sentiment Agents for Multimodal Sentiment Analysis
In this paper, we propose a new Multimodal Representation Learning (MRL) method for Multimodal Sentiment Analysis (MSA), which facilitates the adaptive interaction between modalities through Cooperative Sentiment Agents, named Co-SA. Co-SA comprises two critical components: the Sentiment Agents Establishment (SAE) phase and the Sentiment Agents ...
Shanmin Wang +3 more
openaire +2 more sources
Semisupervised Autoencoder for Sentiment Analysis
In this paper, we investigate the usage of autoencoders in modeling textual data. Traditional autoencoders suffer from at least two aspects: scalability with the high dimensionality of vocabulary size and dealing with task-irrelevant words. We address this problem by introducing supervision via the loss function of autoencoders.
ZHANG ZHONGFEI, ZHAI SHUANGFEI
openaire +4 more sources
Enhancing Marketing Strategies through Sentiment Analysis, NLP, and Machine Learning.
reservedIn the contemporary business landscape, the convergence of Machine Learning (ML), Sentiment Analysis (SA), and Natural Language Processing (NLP) has revolutionized marketing strategies by offering insights into customer sentiments and preferences.
GHANDOUR, MANSOUR
core

