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The Journal of Supercomputing

Sentiment analysis of movie reviews based on quantum convolutional neural networks

Nour El Houda Ouamane, Hacene Belhadef, Mohammed Haddad

Published Oct 17, 2025• 3 citations
Publisher
DOI
10.1007/s11227-025-07965-6

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This article proposed a novel framework for the sentimental analysis with the Amazon review document using the proposed exponential coot_deep quantum neural network (ExpCoot_DQNN). Here, the DQNN is utilised for sentimental analysis of the document as positive or negative and computes the error. Based on the error, the bounded weight estimation is employed using the dice similarity to re-train the DQNN to perform incremental learning. In this, the weights of the DQNN are adjusted using the proposed ExpCoot to make the learning more effective with reduced information loss, which helps enhance the accuracy of sentiment analysis. The performance of the proposed ExpCoot_DQNN is analysed using F_Measure, recall, and precision and the proposed ExpCoot_DQNN accomplished the F_Measure, Recall, and Precision values of 0.97, 0.99, and 0.98, respectively.