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OpenAlex: !!python/object/new:pyalex.api.Topic
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     created_date: '2024-01-23'
     "created_date": "2024-01-23",
     description: This cluster of papers focuses on authorship attribution, stylometry,
     "description": "This cluster of papers focuses on authorship attribution, stylometry, and user profiling in text, utilizing techniques such as text classification, machine learning, and forensic linguistics to analyze gender differences and language use in social media. The research aims to identify authors of anonymous texts, predict demographic attributes from online content, and study the linguistic uniqueness of individuals across different genres and languages.",
      and user profiling in text, utilizing techniques such as text classification,
     "display_name": "Authorship Attribution and User Profiling in Text",
      machine learning, and forensic linguistics to analyze gender differences and
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      language use in social media. The research aims to identify authors of anonymous
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      texts, predict demographic attributes from online content, and study the linguistic
      "display_name": "Physical Sciences"
      uniqueness of individuals across different genres and languages.
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       wikipedia: https://en.wikipedia.org/wiki/Authorship_attribution
      "Authorship Attribution",
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    - Authorship Attribution
      "Text Classification",
    - Stylometry
      "User Profiling",
    - Text Classification
      "Gender Differences",
    - User Profiling
      "Language Use",
    - Gender Differences
      "Social Media Analysis",
    - Language Use
      "Machine Learning",
    - Social Media Analysis
      "Forensic Linguistics",
    - Machine Learning
      "Author Identification"
    - Forensic Linguistics
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    - Author Identification
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}

Latest revision as of 21:09, 12 September 2024

{

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   "created_date": "2024-01-23",
   "description": "This cluster of papers focuses on authorship attribution, stylometry, and user profiling in text, utilizing techniques such as text classification, machine learning, and forensic linguistics to analyze gender differences and language use in social media. The research aims to identify authors of anonymous texts, predict demographic attributes from online content, and study the linguistic uniqueness of individuals across different genres and languages.",
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     "Forensic Linguistics",
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