Article
BioGraph-SentiCOVID: Calibrated Adaptive Context Selection for Graph Neural Sentiment Analysis of COVID-19 Tweets
2026-07-17
Abstract excerpt
<title>Abstract</title> <p> COVID-19-related discussions on Twitter have generated an unprecedented volume of public-opinion data, offering valuable insights into emotional reactions, crisis communication, and societal responses to the pandemic. Accurate sentiment classification of such content is challenging owing to short noisy tweets, conversational ambiguity, class imbalance, and the sensitivity of graph neu...
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Identifiers and source
- Literature Corpus work
- c1b71e4c-7f03-523d-a9ff-de2af0622e6c
- DOI
- 10.21203/rs.3.rs-9602425/v1
