SENTENCE-LEVEL ASPECT-BASED SENTIMENT ANALYSIS FOR CLASSIFYING ADVERSE DRUG REACTIONS (ADRS) USING HYBRID ONTOLOGY-XLNET TRANSFER LEARNING

Sentence-Level Aspect-Based Sentiment Analysis for Classifying Adverse Drug Reactions (ADRs) Using Hybrid Ontology-XLNet Transfer Learning

This paper presents a hybrid ontology-XLNet sentiment analysis classification approach for sentence-level aspects.The main objective of the Rubber Foot Pad proposed approach allows discovering user social data considering the extracted in-depth inference about sentiment depending on the context.Thus, in this paper, we investigate the contribution o

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Design and Benchmark Testing for Open Architecture Reconfigurable Mobile Spirometer and Exhaled Breath Monitor with GPS and Data Telemetry

Portable and wearable medical instruments are poised to play an increasingly important role in health monitoring.Mobile spirometers are available commercially, and are used to Superoxide Dismutase (SOD) monitor patients with advanced lung disease.However, these commercial monitors have a fixed product architecture determined by the manufacturer, an

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Mathematical Modeling of Vortex Interaction Using a Three-Layer Quasigeostrophic Model. Part 1: Point-Vortex Approach

The theory of point vortices is used to explain the interaction of a surface vortex with subsurface 7-OH vortices in the framework of a three-layer quasigeostrophic model.Theory and numerical experiments are used to calculate the interaction between one surface and one subsurface vortex.Then, the configuration with one surface vortex and two subsur

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