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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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Literature Corpus work
c1b71e4c-7f03-523d-a9ff-de2af0622e6c
DOI
10.21203/rs.3.rs-9602425/v1
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BioGraph-SentiCOVID: Calibrated Adaptive Context Selection for Graph Neural Sentiment Analysis of COVID-19 TweetsDOI 10.21203/rs.3.rs-9602425/v1
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