Results 101 to 110 of about 24,177,706 (292)

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang, Luca Weckelmann, Baolin Wu, Chih‐Long Tsai, Luc Raijmakers, Rüdiger‐A. Eichel, Anna Windmüller   +6 more
wiley   +1 more source

Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification [PDF]

, 2012
Convolution kernels support the modeling of complex syntactic information in machine-learning tasks. However, such models are highly sensitive to the type and size of syntactic structure used.
Shouxun, Lin, Foster, Jennifer, Liu, Qun, He, Yifan, Tu, Zhaopeng, van Genabith, Josef   +5 more
core   +2 more sources

HauBERT: A Transformer Model for Aspect-Based Sentiment Analysis of Hausa-Language Movie Reviews

Engineering Proceedings
In this study, we present a groundbreaking approach to aspect-based sentiment analysis (ABSA) using transformer-based models. ABSA is essential for understanding the intricate nuances of sentiment expressed in text, particularly across diverse linguistic
Aminu Musa, Fatima Muhammad Adam, Umar Ibrahim, Abubakar Yakubu Zandam   +3 more
doaj   +1 more source

Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis [PDF]

As cognitive-inspired computation approaches, deep neural networks or deep learning (DL) models have played important roles in allowing machines to reach human-like performances in various complex cognitive tasks such as cognitive computation and ...
Chen, Xieling, Tao, Xiaohui, Qin, S. Joe, Xie, Haoran, Cai, Yaping, Wang, Fu Lee   +5 more
core   +1 more source

Promoting Healthier Drinking: Evidence From a Vignette Experiment on Contextual and Informational Drivers of Dealcoholized Wine Choices

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Growing demand for healthier beverages is driving innovation in the wine sector, with dealcoholized wine emerging as a promising alternative. However, little is known about the contextual conditions under which consumers would choose dealcoholized wine, particularly in countries with strong wine traditions. To fill this gap, this work examines
Giovanna Piracci, Giulia Maesano, Leonardo Casini, Maurizio Canavari, Marija Cerjak   +4 more
wiley   +1 more source

Exploring the use of paragraph-level annotations for sentiment analysis of financial blogs [PDF]

, 2009
In this paper we describe our work in the area of topic-based sentiment analysis in the domain of financial blogs. We explore the use of paragraph-level and document-level annotations, examining how additional information from paragraph-level annotations
Davy, Michael, Sheridan, Páraic, O'Hare, Neil, Bermingham, Adam, Gurrin, Cathal, Smeaton, Alan F., Ferguson, Paul   +6 more
core   +2 more sources

Hemp Cultivation and Crop Diversification: Implications for Ecosystem Services in Kentucky

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the ecosystem benefits of expanding hemp cultivation by assessing its impact on crop diversity. Using scenario‐based simulations and fixed‐effect panel regressions with county‐level data in Kentucky, we find that increased hemp acreage tends to enhance crop diversity, improving water quality and bird diversity.
Yunsun Park, Seong D. Yun, Brandy E. Phipps, Tyler Mark, Craig Schluttenhofer   +4 more
wiley   +1 more source

Farmers' Preferences for Gene Editing Crops and Influencing Factors

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele, Vigani Mauro   +1 more
wiley   +1 more source

Hybrid Graph Neural Network-Based Aspect-Level Sentiment Classification

Aspect-level sentiment classification has received more and more attention from both academia and industry due to its ability to provide more fine-grained sentiment information. Recent studies have demonstrated that models incorporating dependency syntax
Hongyan Zhao, Cheng Cui, Changxing Wu
core   +1 more source

Aspect context aware sentiment classification of online consumer reviews

, 2020
Purpose: Aspect based sentiment classification is valuable for providing deeper insight into online consumer reviews (OCR). However, the majority of the previous studies explicitly determine the orientation of aspect related sentiment bearing word and ...
Srivastava, Sangeet, Bansal, Barkha
core   +1 more source