Comparison of Kernel Methods and Large Language Models in Sentiment Analysis.
openIl presente documento descrive il lavoro svolto durante il periodo di tirocinio, della durata di circa trecento ore, dal laureando Carlo Rosso presso l'Università degli Studi di Padova. Gli obiettivi da raggiungere sono stati molteplici.
ROSSO, CARLO
core
Evaluating Turkish society's approaches to hemorrhoid treatment using text mining and sentiment analysis methods. [PDF]
Doğaner A.
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Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
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KEMFF: A Knowledge-Enhanced and Multidimensional Feature Fusion Model for Aspect-Based Sentiment Analysis. [PDF]
Yang S, Liu P, Zhu W.
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Consensus Formation and Change are Enhanced by Neutrality
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
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A cannabis use Reddit dataset for aspect-based sentiment analysis. [PDF]
Park T +8 more
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Underground Signals: The Ecological Power of Root Volatiles
Root volatiles mediate rhizosphere chemical communication, shaping interactions among plants, microbes, herbivores, and natural enemies. Their production, transport, and perception underpin ecological adaptation, multitrophic interactions, and plant resilience, offering opportunities for sustainable crop protection, resilient agroecosystems, and ...
Xueyao Cao +31 more
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Progressive fusion and guidance-aware denoising for robust multimodal sentiment analysis. [PDF]
Zheng Z, Ye X, Manoharan S.
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A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
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Stakeholders' discourse on generative AI in higher education: Insights from topic modeling and sentiment analysis. [PDF]
Tafesse W +3 more
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