Results 111 to 120 of about 22,264,370 (303)

Clinician and Patient Factors Associated With Long‐Term Glucocorticoid Use in People With Rheumatoid Arthritis Receiving Advanced Therapies

open access: yesArthritis Care &Research, EarlyView.
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]

open access: yes, 2012
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

The Development of Rheumatoid Arthritis–Specific Ambulatory Care–Sensitive Conditions: Results of a Consensus Process

open access: yesArthritis Care &Research, EarlyView.
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]

open access: yes, 2011
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

A Scoping Review and Meta‐Analysis of Proportions of Central Nervous System Manifestations Reported in Patients with Sjögren's Disease

open access: yesArthritis Care &Research, EarlyView.
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

open access: yesProceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
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

open access: yesArthritis Care &Research, Accepted Article.
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

open access: yesCoRR
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

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2016
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.

open access: yes, 2023
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  

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