Research on the Relationship between Post-publication Evaluation Sentiment and Influence of Acaaemic Paper

[Purpose/significance] Exploring the relationship between post-publication evaluation sentiment and the impact of academic papers can contribute to the improvement of the scientific research evaluation system. [Method/process] Based on the recommended biomedical papers in hi Connect， this study proposes metrics including overall sentiment score; positive/negative sentiment ratio， and sentiment consensus degree. The papers are grouped by citation count， and statistical analysis is conducted to reveal differences in post-publication peer review and academic citation sentiment characteristics across groups. Furthermore， correlation analysis and interpretable machine learning methods are employed to explore the relationship between sentiment features and academic impact. [Result/conclusion] There exists a correlation between post-publication evaluation sentiment and academic impact in academic papers. Papers with higher sentiment scores， more positive evaluations， and higher sentiment consensus demonstrate substantially greater academic impact. We proposes a quantitative method for assessing post-publication evaluation sentiments in academic papers， explores the sentiment characteristics of evaluations across citation-based impact tiers， and reveals the relationship between evaluation sentiments and academic impact. The study can provide theoretical support and methodological insights for research evaluation.