Unified graph-based missing label propagation method for multilabel text classification

HIGHLIGHTS

  • who: Adil Yaseen Taha and colleagues from the Center for Artificial Intelligence Technology, Universiti Kebangsaan Malaysia, Hulu Langat, Malaysia have published the research: Unified Graph-Based Missing Label Propagation Method for Multilabel Text Classification, in the Journal: Symmetry 2022, 14, 286. of /2022/
  • what: To address the incomplete or problem this study proposes two methods: an aggregated feature and handling method (GB-AS) and a propagation method (UG-MLP). Given training cases that have an incomplete or partial collection of these labels (i.e., some of their labels are missing), the suggested approach in this . . .

     

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