Please use this identifier to cite or link to this item: http://repositorio.grial.eu/handle/grial/3003
Title: Showcasing sentiment classification and word prediction in the quantum natural processing area
Authors: Peral-García, D.
Cruz-Benito, J.
García-Peñalvo, F. J.
Keywords: quantum computing
quantum machine learning
quantum natural language processing
Issue Date: 5-Dec-2023
Publisher: CEUR-WS.org
Citation: Peral-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/
Abstract: The 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.
URI: http://repositorio.grial.eu/handle/grial/3003
ISSN: 1613-0073
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