Simple Sentiment Analysis Ansatz for Sentiment Classification in Quantum Natural Language Processing

Sentiment classification is a valuable application of natural language processing that has seen wide usage in optimizing business processes. This paper explores a novel implementation of sentiment analysis using the Variational Quantum Algorithms (VQA) framework. As ansatz choice determines model pe...

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Autori principali:	Fariska Zakhralativa Ruskanda, Muhammad Rifat Abiwardani, Infall Syafalni, Harashta Tatimma Larasati, Rahmat Mulyawan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2023-01-01
Serie:	IEEE Access
Soggetti:	Quantum natural language processing quantum machine learning sentiment classification ansatz quantum circuit
Accesso online:	https://ieeexplore.ieee.org/document/10296902/
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