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Long COVID Discourse in Canada, the United States, and Europe: Topic Modeling and Sentiment Analysis of Twitter Data

Long COVID Discourse in Canada, the United States, and Europe: Topic Modeling and Sentiment Analysis of Twitter Data

Multilayer perceptron [42], naïve Bayes [43], and support vector machine [44] algorithms have been used by Masood et al [23]. In addition, Kumar et al [19] used bidirectional encoder representations from transformers [45], a deep neural network based on transformer architecture, demonstrating the efficacy of these advanced models in capturing the nuances of sentiment in social media text.

Ahmed Ghassan Tawfiq AbuRaed, Emil Azuma Prikryl, Giuseppe Carenini, Naveed Zafar Janjua

J Med Internet Res 2024;26:e59425

A Hybrid Architecture (CO-CONNECT) to Facilitate Rapid Discovery and Access to Data Across the United Kingdom in Response to the COVID-19 Pandemic: Development Study