Year: 2024
Type: article
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.
Author: Lateshwari
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7216628924