Results 81 to 90 of about 1,317,028 (200)
Dynamic Spillovers Between FinTech, Blockchain, and Green Finance: A Quantile Connectedness Approach
ABSTRACT This paper explores how financial innovation and environmental sustainability intersect by analyzing spillovers between FinTech, blockchain energy use, and green finance. Using a Quantile Vector Autoregression (QVAR) framework, we examine weekly data from 2018 to 2024 across 11 digital, environmental, and macro‐financial indices.
Mehmet Sahiner, Sisi Sung, James Devlin
wiley +1 more source
Ontology Driven Feature Engineering for Opinion Mining
In the process of knowledge discovery, the reliability of results depends upon the effectiveness of attributes selected for decision. The curse of dimensionality refers to the phenomenon in which the excessive number of dimensions affect the analysis. In
Shafaq Siddiqui +3 more
doaj +1 more source
ABSTRACT This study explores how circular economy (CE) principles are incorporated in construction‐related policy roadmaps worldwide, addressing the growing need for effective resource strategies in a highly material‐intensive sector. National strategic CE documents from 57 countries were analyzed using natural language processing techniques, and then ...
Aidana Tleuken +5 more
wiley +1 more source
Reliance on social networks has become an integral part of modern daily activities. Social networks are crowded with vast numbers of comments, opinions, and beliefs about different aspects of people’s daily lives.
Afnan A. Bayazed +3 more
doaj +1 more source
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi +3 more
wiley +1 more source
PO-RAG: Memory-Enhanced and Self-Optimizing System for Opinion Mining in Public Opinion
With the widespread use of social media and online news platforms, the spread of public opinion events has accelerated. It is increasingly important to accurately uncover multiple opinions within these events. Existing retrieval-enhanced generation (RAG)
Junshuai Zhang +4 more
doaj +1 more source
Analysis of Users’ Opinions about Reasons for Divorce [PDF]
One of the most important issues related to knowledge discovery is the field of comment mining. Opinion mining is a tool through which the opinions of people who comment about a specific issue can be evaluated in order to achieve some interesting results.
Fatemeh Eghrari Solout +1 more
doaj
Ubiquitous data stream mining [PDF]
The dissemination of data stream systems, wireless networks and mobile devices motivates the need for an efficient data analysis tool capable of gaining insights about these continuous data streams.
Zaslavsky, Arkady +5 more
core
ABSTRACT This study examines sectoral heterogeneity in corporate biodiversity disclosure (CBD) among Chinese listed firms over the period 2001–2023. Drawing on stakeholder, institutional, and resource dependency theories, it investigates how environmental exposure, ownership structures, and market dynamics influence biodiversity risk recognition and ...
Orkun Bayram +2 more
wiley +1 more source
Public opinion mining in social media about Ethiopian broadcasts using deep learning
Now adays people express and share their opinions on various events on the internet thanks to social media. Opinion mining is the process of interpreting user-generated opinion data on social media.
Minichel Yibeyin +3 more
doaj +1 more source

