面向网络欺凌文本检测模型的算法解释及其故事化呈现研究OA北大核心CHSSCDCSSCICSTPCD

[Purpose/Significance]Using interpretability technology and storytelling methods to study cyberbullying detection can help identify bullying content,participate in online public opinion governance,and purify the online ecology.[Method/Process]The study analyzed the selection basis of LIME interpretability algorithm and text interpretability theory in detail and proposed the"Diamond"application process of LIME algorithm in cyberbullying detection model,further constructed a storytelling presentation framework of"data layer-model layer-explanation layer-narrative layer",and final-ly verified the effectiveness of the framework through experiments.[Result/Conclusion]The interpretability technology for cyberbullying detection model can improve the application value and the model credibility,balance the relationship between model accuracy and interpretability,and the storytelling presentation method based on data analysis and interpretation re-sults can provide a credible,reliable and understandable basis for network information platform data governance.