Deep learning based fusion approach for hate speech detection

HIGHLIGHTS

• who: YANLING ZHOU and colleagues from the School of Computer Science and Information Engineering, Hubei University, Hubei, China have published the article: Deep Learning Based Fusion Approach for Hate Speech Detection, in the Journal: (JOURNAL)
• what: The authors focus on several famous deep learning methods. The authors propose the framework and combination rules of classifier fusion, and analyze the factors affecting the fusion results.
• how: For ELMo the authors selected the ELMo model implemented and pre-trained by Google based on tensorflow. 128927 Then the basic results are fused through the combination rules . . .
  

   

  

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