Ensemble Text Summarization Model for COVID-19-Associated Datasets
T. Chellatamilan,
Senthil Kumar Narayanasamy,
Lalit Garg
et al.
Abstract:The work of text summarization in question-and-answer systems has gained tremendous popularity recently and has influenced numerous real-world applications for efficient decision-making processes. In this regard, the exponential growth of COVID-19-related healthcare records has necessitated the extraction of fine-grained results to forecast or estimate the potential course of the disease. Machine learning and deep learning models are frequently used to extract relevant insights from textual data sources. Howev… Show more
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