Associations of presenting symptoms and subsequent adverse clinical outcomes in people with unipolar depression: a prospective natural language processing (NLP), transdiagnostic, network analysis of electronic health record (EHR) data. [PDF]
Patel R +8 more
europepmc +1 more source
ABSTRACT This study aims to enhance academic understanding of the factors influencing the disclosure practices of climate change among European utility companies, specifically in the context of their sustainability reporting. The primary objective is to explore, through a multi‐theoretical framework, the governance drivers that significantly affect the
Cristina Boţa‐Avram +2 more
wiley +1 more source
Corrigendum to: The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records. [PDF]
Henry S, Wang Y, Shen F, Uzuner O.
europepmc +1 more source
Tracking Climate and Environmental Attention: A News‐Based Composite Index
ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca +3 more
wiley +1 more source
A Methodological Approach to Validate Pneumonia Encounters from Radiology Reports Using Natural Language Processing. [PDF]
Panny A +7 more
europepmc +1 more source
ABSTRACT This study examines how artificial intelligence language models influence corporate environmental, social, and governance greenwashing (GWESG$$ {\mathrm{GW}}_{\mathrm{ESG}} $$) behavior, utilizing panel data from Chinese listed firms spanning 2012–2022.
Brahim Bergougui +2 more
wiley +1 more source
Large-scale connectionist natural language parsing using lexical semantic and syntactic knowledge
Syntactic parsing plays a pivotal role in most automatic natural language processing systems. The research project presented in this dissertation has focused on two main characteristics of connectionist models for natural language processing: their ...
Nkantah, DE
core
ABSTRACT Green bonds play a central role in sustainable finance, yet concerns about greenwashing raise questions about the credibility of issuers' sustainability disclosures. Using dictionary‐based methods and domain‐specific BERT transformer models, this paper proposes two greenwashing alert metrics and investigates their performance by analyzing ...
Andrea Nicolodi +4 more
wiley +1 more source
Natural Language Processing (NLP) in Recommendation Systems
This paper delves into the application of Natural Language Processing (NLP) techniques in recommendation systems, specifically focusing on novel approaches to enhance recommendation accuracy and user satisfaction. The utilization of NLP algorithms has revolutionized how content is recommended to users, leveraging linguistic analysis and machine ...
Kamalaraj R +1 more
openaire +1 more source
Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley +1 more source

