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OpenAlex: !!python/object/new:pyalex.api.Topic
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     cited_by_count: 152614
     "cited_by_count": 206292,
     created_date: '2024-01-23'
     "created_date": "2024-01-23",
     description: This cluster of papers focuses on the automated detection of hate
     "description": "This cluster of papers focuses on the automated detection of hate speech, offensive language, and cyberbullying in social media platforms such as Twitter. It explores various techniques including machine learning, natural language processing, and deep learning to identify and categorize abusive content, with a specific emphasis on mitigating online harassment and promoting online safety.",
      speech, offensive language, and cyberbullying in social media platforms such
     "display_name": "Automated Detection of Hate Speech and Offensive Language",
      as Twitter. It explores various techniques including machine learning, natural
     "domain": {
      language processing, and deep learning to identify and categorize abusive content,
       "id": "https://openalex.org/domains/3",
      with a specific emphasis on mitigating online harassment and promoting online
      "display_name": "Physical Sciences"
      safety.
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     display_name: Automated Detection of Hate Speech and Offensive Language
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       display_name: Physical Sciences
      "display_name": "Computer Science"
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      display_name: Computer Science
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       "wikipedia": "https://en.wikipedia.org/wiki/Hate_speech"
     ids:
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     "keywords": [
       wikipedia: https://en.wikipedia.org/wiki/Hate_speech
      "Hate Speech",
     keywords:
      "Detection",
    - Hate Speech
      "Social Media",
    - Detection
      "Cyberbullying",
    - Social Media
      "Offensive Language",
    - Cyberbullying
      "Machine Learning",
    - Offensive Language
      "Natural Language Processing",
    - Machine Learning
      "Online Harassment",
    - Natural Language Processing
      "Twitter",
    - Online Harassment
      "Deep Learning"
    - Twitter
    ],
    - Deep Learning
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    - display_name: Optimization Methods in Machine Learning
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       id: https://openalex.org/T12611
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}

Latest revision as of 21:08, 12 September 2024

{

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   "description": "This cluster of papers focuses on the automated detection of hate speech, offensive language, and cyberbullying in social media platforms such as Twitter. It explores various techniques including machine learning, natural language processing, and deep learning to identify and categorize abusive content, with a specific emphasis on mitigating online harassment and promoting online safety.",
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