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Quantum Natural Language Processing Based Sentiment Analysis Using Lambeq Toolkit
Cita
Ganguly, Srinjoy, Morapakula, Sai Nandan and Pozo Coronado, Luis Miguel 
ORCID: https://orcid.org/0000-0002-1568-3540
(2022).
Quantum Natural Language Processing Based Sentiment Analysis Using Lambeq Toolkit.
En: "Second International Conference on Power, Control and Computing Technologies (ICPC2T 2022)", 1-3 de Mar. 2022, Raipur, India. ISBN 978-1-6654-5858-0.
https://doi.org/10.1109/ICPC2T53885.2022.9776836.
ORCID: https://orcid.org/0000-0002-1568-3540
(2022).
Quantum Natural Language Processing Based Sentiment Analysis Using Lambeq Toolkit.
En: "Second International Conference on Power, Control and Computing Technologies (ICPC2T 2022)", 1-3 de Mar. 2022, Raipur, India. ISBN 978-1-6654-5858-0.
https://doi.org/10.1109/ICPC2T53885.2022.9776836.
Descripción
| Título: | Quantum Natural Language Processing Based Sentiment Analysis Using Lambeq Toolkit |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | Second International Conference on Power, Control and Computing Technologies (ICPC2T 2022) |
| Fechas del Evento: | 1-3 de Mar. 2022 |
| Lugar del Evento: | Raipur, India |
| Título del Libro: | 2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T 2022) |
| Fecha: | 26 Mayo 2022 |
| ISBN: | 978-1-6654-5858-0 |
| Materias: | |
| Palabras Clave Informales: | Quantum Computing, Quantum Natural Language Processing, lambeq |
| Escuela: | E.T.S.I. de Sistemas Informáticos (UPM) |
| Departamento: | Matemática Aplicada a las Tecnologías de la Información y las Comunicaciones |
| Licencias Creative Commons: | Ninguna |
Resumen
Sentiment classification is one of the best use cases of classical natural language processing (NLP). We witness its power in various domains such as banking, business, and the marketing industry. We already know how classical AI and machine learning can change and improve technology. Quantum natural language processing (QNLP) is a young and gradually emerging technology that can provide a quantum advantage for NLP tasks. In this paper, we show the first application of QNLP for sentiment analysis and achieve perfect test set accuracy for three different kinds of simulations and decent accuracy for experiments run on a noisy quantum device. We utilize the lambeq QNLP toolkit and t|ket > by Cambridge Quantum (Quantinuum) to produce the results.
Más información
| ID de Registro: | 85414 |
|---|---|
| Identificador DC: | https://oa.upm.es/85414/ |
| Identificador OAI: | oai:oa.upm.es:85414 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/9934098 |
| Identificador DOI: | 10.1109/ICPC2T53885.2022.9776836 |
| URL Oficial: | https://ieeexplore.ieee.org/document/9776836 |
| Depositado por: | iMarina Portal Científico |
| Depositado el: | 19 Dic 2024 18:17 |
| Ultima Modificación: | 19 Dic 2024 18:17 |
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