Results 131 to 140 of about 51,786 (296)

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). [PDF]

J Am Med Inform Assoc, 2023
Liu S, Wen A, Wang L, He H, Fu S, Miller R, Williams A, Harris D, Kavuluru R, Liu M, Abu-El-Rub N, Schutte D, Zhang R, Rouhizadeh M, Osborne JD, He Y, Topaloglu U, Hong SS, Saltz JH, Schaffter T, Pfaff E, Chute CG, Duong T, Haendel MA, Fuentes R, Szolovits P, Xu H, Liu H.   +27 more
europepmc   +1 more source

On robustness for natural language processing

As a discipline, machine learning has contributed to significant breakthroughs in Natural Language Processing (NLP), aiming to design algorithms to manipulate text and produce insights, such as classification and summarization, comparable to those of ...
La Malfa, Emanuele
core   +1 more source

Exploring Green Entrepreneurship: Clarifying Conceptual Overlaps and Distinctions With Sustainability‐Related Entrepreneurship

Business Strategy and the Environment, EarlyView.
ABSTRACT Increasing global emphasis on sustainability has positioned green entrepreneurship as a key mechanism for aligning business with environmental responsibility. Despite growing research, green entrepreneurship remains conceptually fragmented, with overlapping constructs and inconsistent definitions, which may have constrained theoretical and ...
Alexandra Elena Carst, Jin‐ichiro Yamada   +1 more
wiley   +1 more source

BERT: advancements in language understanding for different NLP tasks: challenges and future perspectives

Journal of Electrical Systems and Information Technology
Natural Language Processing (NLP) has significantly evolved from computational linguistics, enabling computers to comprehend the structure and meaning of human language, by better extracting data or information from text-based documents and enhancing ...
Md Saiful Islam, Li Xiangdong, Jubayer Ahmed   +2 more
doaj   +1 more source

An automated method for developing search strategies for systematic review using Natural Language Processing (NLP). [PDF]

MethodsX, 2023
Kwabena AE, Wiafe OB, John BD, Bernard A, Boateng FAF.   +4 more
europepmc   +1 more source

Visualizing ESG Signaling Through User‐Generated Content: A Strategic Foresight Framework for Symbolic Legitimacy in Hospitality Branding

Business Strategy and the Environment, EarlyView.
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham, Pabitra Mitra, Sujoy Bhattacharya   +2 more
wiley   +1 more source

Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions. [PDF]

Wirel Pers Commun, 2023
Tyagi N, Bhushan B.
europepmc   +1 more source

Data‐Driven Pathways to Circular E‐Waste Management

Business Strategy and the Environment, EarlyView.
ABSTRACT As the volume and complexity of electronic waste grow worldwide, regional and subnational systems are increasingly tasked with managing the environmental, economic, and social challenges of circular resource recovery. This paper focuses on Canada's e‐waste sector to examine how circular economy (ce) principles can be integrated into regional ...
Saidia Ali, Samin Sahaaban‐Nejad, Farid Shirazi, Nick Hajli   +3 more
wiley   +1 more source

A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques. [PDF]

Comput Intell Neurosci, 2022
Fatima R, Samad Shaikh N, Riaz A, Ahmad S, El-Affendi MA, Alyamani KAZ, Nabeel M, Ali Khan J, Yasin A, Latif RMA.   +9 more
europepmc   +1 more source

Artificial Intelligence Tools for Carbon Nanotube Research: Opportunities From Synthesis to Applications

Carbon and Hydrogen, EarlyView.
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao, Fei Wang, Qixuan Cai, Aike Xi, Kangkang Wang, Khaixien Leu, Rufan Zhang   +6 more
wiley   +1 more source