Exploring Sentiment Analysis on Social Media through Quantum Computing

Authors

  • Lateshwari, Sushil Kumar Bansal

Keywords:

Quantum Computing, Sentiment Analysis, Twitter Data, Quantum-Inspired Algorithms, User Opinions, Emotions

Abstract

This research delves into the realm of sentiment analysis applied to Twitter data, utilizing quantum computing to advance its accuracy and efficiency. The escalating complexity and abundance of textual content on social media platforms have presented challenges for conventional computational methods in effectively gauging sentiments. Quantum computing, renowned for its capacity in parallel processing and intricate data analysis, presents a novel avenue to enhance sentiment analysis. This study employs quantum-inspired algorithms to process and examine sentiments within real-time Twitter data, contributing to a more comprehensive comprehension of user opinions and emotions expressed on the platform.

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References

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Published

09.07.2024

How to Cite

Lateshwari. (2024). Exploring Sentiment Analysis on Social Media through Quantum Computing. International Journal of Intelligent Systems and Applications in Engineering, 12(22s), 799–815. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6558

Issue

Vol. 12 No. 22s (2024)

Section

Research Article

License

Creative Commons License

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