Results 91 to 100 of about 17,106 (265)
Improving sentiment classification using a RoBERTa-based hybrid model. [PDF]
Semary NA +4 more
europepmc +1 more source
Extreme Weather Events and Consumer Food Responses
ABSTRACT This study investigates consumer food responses to Hurricanes Helene and Milton, which affected a swath of the Southeastern U.S. in 2024. Using representative consumer survey data from six affected states, we analyze 10 distinct food responses classified into ex ante and ex post responses, and examine their associations with food insufficiency
Ahmad Zia Wahdat, Joseph Balagtas
wiley +1 more source
This study aims to evaluate the accuracy of two algorithms, K-Nearest Neighbor (KNN) and Robustly Optimized BERT Approach (RoBERTa), in analyzing sentiment within comments on MiawAug’s YouTube channel.
Fachrudin Okta Rahmawan +2 more
doaj +1 more source
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 +4 more
wiley +1 more source
Hemp Cultivation and Crop Diversification: Implications for Ecosystem Services in Kentucky
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 +4 more
wiley +1 more source
Quantum computing and machine learning for Arabic language sentiment classification in social media. [PDF]
Omar A, Abd El-Hafeez T.
europepmc +1 more source
Swedish farmers' approval of nudges
Abstract Interest in the use of behavioral policy approaches, such as nudges, has strongly increased over the past years, including in the domains of food, agricultural and environmental policies. While the approval of nudges among the general public has been studied extensively, we know little about the attitude of farmers toward nudging. Farmers may (
Liesbeth Colen +2 more
wiley +1 more source
Boosting ChatGPT Sentiment Classification with Stacking and Majority Voting on Skewed Data
In the field of natural language processing (NLP), sentiment analysis is very important for comprehending user views and opinions. By using the Kaggle ChatGPT sentiment analysis dataset, this work investigates the use of sophisticated ensemble machine ...
Dharmaraj R. Patil
doaj +1 more source
Performance analysis of aspect-level sentiment classification task based on different deep learning models. [PDF]
Cao F, Huang X.
europepmc +1 more source
Abstract The Russian invasion of Ukraine in February 2022 had profound consequences for the global economy. As both countries are major commodity exporters, the food value chain was also affected. This study investigates the impact of the invasion on stock prices, profitability and sentiments of agribusinesses along the food supply chain by using an ...
Julia Höhler +2 more
wiley +1 more source

