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Apprendimento automatico applicato

Apprendimento automatico applicato

Vijayaragavan P

111,59 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Sociedad y cultura: general
ISBN:
9786208796785
111,59 €
IVA incluido
Disponible

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Sobre IBD

Questo studio presenta un modello ibrido che sfrutta i punti di forza del clustering K-means e delle macchine vettoriali di supporto (SVM) per classificare le recensioni di prodotti online. K-means viene utilizzato per raggruppare le recensioni in cluster, riducendo la complessità dei dati e migliorando l’estrazione delle caratteristiche. Successivamente, si ricorre a SVM per classificare i dati raggruppati in sentimenti positivi, negativi o neutri. L’approccio combinato migliora l’accuratezza della classificazione, riduce il costo computazionale e gestisce efficacemente grandi insiemi di dati. I risultati sperimentali dimostrano che il modello proposto supera i classificatori tradizionali indipendenti in termini di precisione, richiamo e accuratezza complessiva.

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