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hate-speech-detection

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This project compares the effectiveness of SVM algorithms using two classes (Hate vs Non-hate) and three classes (Hate, Offensive, Neither) in detecting the actual hate speech accurately. It consists of explainable AI (XAI) implemented using the LIME library and a web user interface implemented using the STREAMLITlibrary. This assignment belongs…

  • Updated Aug 27, 2021
  • Python

A modular transformer for detecting hateful memes. The model contains 6 submodels for creating input embeddings: 1. BERT embedder (text), 2. sentiment embedder (text), 3. association embedder via knowledge graph (text), 4. CNN embedder (image), 5. VisualBERT embedder (image), 6. Object embedder (image)

  • Updated May 26, 2023
  • Python

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