Results 141 to 150 of about 51,786 (296)
What concerns the general public the most about monkeypox virus? - A text analytics study based on Natural Language Processing (NLP). [PDF]
Sv P, Ittamalla R.
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Understanding Natural Language Processing (NLP) Techniques
Natural Language Processing (NLP) is a transformative field that integrates computational intelligence with human language through sophisticated algorithms. This paper explores foundational mechanisms that enable machines to understand, translate, and infer human language across various applications. Key processing techniques include tokenization using
openaire +4 more sources
Resume Screening With Natural Language Processing (NLP)
This study addresses the challenges employers face in screening the large number of resumes received for job positions. We aim to ensure fair evaluation of candidates, reduce bias, and increase the efficiency of the candidate evaluation process by automating the resume screening process.
Mehtap Saatci +2 more
openaire +2 more sources
ABSTRACT Recent literature addressing ESG and risk has increased by 70% since mid‐2022, reflecting a growing interest in sustainable finance. Guided by the PRISMA flow diagram, this paper employs a hybrid systematic review methodology, combining bibliometric analysis with content analysis, to provide a comprehensive overview of the evolution of ESG and
Fahad Asmi, Alain Neher, Alfred Wong
wiley +1 more source
ABSTRACT Despite increasing interest in leveraging AI to improve CSR communication, there is limited understanding of consumers' reactions to chatbots in CSR communication. Building upon the HAII‐TIME model, this study proposes a theoretical model from the users' psychological perspective to explain facilitative pathways through which anthropomorphic ...
Yangzhi (Nicole) Jiang +2 more
wiley +1 more source
ABSTRACT The study examines how narrative disclosure tones (NDTs) and corporate governance mechanisms (CGMs) affect sustainability reporting practices (SRP) in an emerging economy. Data from 125 non‐financial firms in Pakistan, spanning 2011–2022, are utilized. SRP is measured using both GRI and the novel IFRS S1 standards‐based indices. Three NDTs are
Arshad Hasan +2 more
wiley +1 more source
The surge in legal text production has amplified the workload for legal professionals, making many tasks repetitive and time-consuming. Furthermore, the complexity and specialized language of legal documents pose challenges not just for those in the ...
Ernesto Quevedo +7 more
doaj +1 more source
We investigate the problem of structurally changing lexica, while preserving the information. We present a type of lexicon transformation that is complete on an interesting class of lexica.
Nederhof, Mark Jan
core
ABSTRACT Corporate culture is a critical driver of corporate social responsibility, shaping how firms internalize sustainability, social and environmental concerns, yet its governance antecedents are less understood. Motivated by the need to understand how governance structures affect organizational values and behavior, we explore the relationship ...
Sirimon Treepongkaruna, Stefano Starita
wiley +1 more source

