Toward robust social media sentiment for SMEs: a comparative study of dictionary-based and machine learning approaches with insights for hybrid methodologies. [PDF]
Susanto H +10 more
europepmc +1 more source
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million +3 more
wiley +1 more source
Reputation and trust in health insurance: A scoping review of key drivers and outcomes. [PDF]
Saillen G, Diviani N, Rubinelli S.
europepmc +1 more source
Associating cognitive abilities with naturalistic search behavior
Abstract Differences in cognitive abilities affect search behaviors, but this has mostly been observed in laboratory experiments. There is limited research on how users search for information in real‐world, naturalistic settings and how real‐world search behaviors relate to cognitive abilities.
Tung Vuong +2 more
wiley +1 more source
Everybody's business: insights into palliative and end-of-life care for clinicians who treat mortals (yes, that means you). [PDF]
Mannix K.
europepmc +1 more source
Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto +2 more
wiley +1 more source
Impact of an integral accompaniment program on undergraduate students' self-perception of transversal competence development: a quasi-experimental study. [PDF]
Crespí P +4 more
europepmc +1 more source
ChatGPT for complex text evaluation tasks
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley +1 more source
Challenges in the transition to independent dermatology practice: prevalence of impostor phenomenon and a needs assessment of professional skills. [PDF]
Hong S +5 more
europepmc +1 more source
Abstract Aspect‐Based Sentiment Analysis (ABSA) has evolved from textual analysis to a multimodal paradigm, integrating visual information to capture nuanced sentiments. Despite advancements, existing Multimodal ABSA (MABSA) research remains limited in granularity, which focuses on either coarse‐level categories or named entities, neglecting fine ...
Li Yang +3 more
wiley +1 more source

