Showcasing sentiment classification and word prediction in the quantum natural processing area

dc.contributor.authorPeral-García, D.
dc.contributor.authorCruz-Benito, J.
dc.contributor.authorGarcía-Peñalvo, F. J.
dc.date.accessioned2023-12-06T00:46:17Z
dc.date.available2023-12-06T00:46:17Z
dc.date.issued2023-12-05
dc.description.abstractThe advent of quantum computers makes it possible to perform quantum computations in different areas like machine learning, finance, or chemistry. This paper showcases one of the emerging areas under quantum machine learning, quantum natural language processing. We present two quantum natural language processing tasks, sentiment classification and missing word prediction in a sentence. We show how these tasks can be achieved even in real quantum computers using the two main libraries in this subfield, DisCoPy, and lambeq.en
dc.identifier.citationPeral-García, D., Cruz-Benito, J., & García-Peñalvo, F. J. (2023). Showcasing sentiment classification and word prediction in the quantum natural processing area. In A. Lopata, T. Krilavičius, I. Veitaitė, & A. García-Holgado (Eds.), IVUS 2023 Information Society and University Studies 2023. Proceedings of the 28th International Conference on Information Society and University Studies (IVUS 2023). Kaunas, Lithuania, May 12, 2023 (pp. 222-228). CEUR-WS.org. https://ceur-ws.org/Vol-3575/en
dc.identifier.issn1613-0073
dc.identifier.urihttp://repositorio.grial.eu/handle/grial/3003
dc.language.isoenen
dc.publisherCEUR-WS.orgen
dc.subjectquantum computingen
dc.subjectquantum machine learningen
dc.subjectquantum natural language processingen
dc.titleShowcasing sentiment classification and word prediction in the quantum natural processing areaen
dc.typeArticleen

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