A diagnostic system for detecting COVID-19 patients depending on lexicon semantic and Biterm Topic Model-Based Feature Selection on WhatsApp Messages Classification
COVID-19 has created an urgent need for innovative detection methods. This study presents a novel approach to identifying potential COVID-19 patients by analyzing their WhatsApp messages using advanced natural language processing techniques. Our methodology combines Word2Vec embeddings with lexical-...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ferdowsi University of Mashhad
2025-04-01
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| Series: | Computer and Knowledge Engineering |
| Subjects: | |
| Online Access: | https://cke.um.ac.ir/article_46538_d59975c2cb88e11c8e2485568d468b05.pdf |
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