现代情报2025，Vol.45Issue(4)：23-35,13.DOI:10.3969/j.issn.1008-0821.2025.04.003
基于概念格融合模型的垃圾评论识别研究
Study on Spam Comment Recognition Based on Conceptual Lattice Fusion Modeling
摘要
Abstract
[Purpose/Significance]In order to effectively solve the dependence and limitation of primitive learners and integrated models on monomorphic specific patterns,this paper expands the classifier into one that can adapt to polymorphic mixed patterns by increasing the observation granularity,with a view to enhancing the model comprehension and classifica-tion ability.[Method/Process]In this paper,the study replaced the original features with concept sets,introduced the concepts of mutually exclusive concept sets and orthogonal sample sets,separated,generalized and fused the samples,constructed a concept lattice fusion model and evaluated the model in four aspects:model traits,model capability,model quality and overfitting.[Result/Conclusion]The measurement results with a sample set of 23971 Amazon reviews show that the concept lattice fusion model has a greater improvement in accuracy,stability,and anti-interference,and the mod-el evaluation results indicate that the model has better intrinsic qualities.关键词
垃圾评论/基元学习器/集成模型/概念格/概念格融合模型Key words
spam comments/primitive learner/integrated model/conceptual lattice/conceptual lattice fusion model分类
信息技术与安全科学引用本文复制引用
刘伟江,马小雯,王博..基于概念格融合模型的垃圾评论识别研究[J].现代情报,2025,45(4):23-35,13.基金项目
国家社会科学基金重大项目"大数据方法在宏观经济预测中的应用研究"(项目编号:23&ZD075). （项目编号:23&ZD075）
