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Semantic Scholar is an AI-based academic search engine developed by the Allen Institute for AI, designed to help researchers find and understand scientific papers. The platform uses natural language processing and machine learning to extract key information from academic articles, making it easier to discover relevant research. Semantic Scholar provides advanced search capabilities, citation analysis, and personalized recommendations based on user behavior. The tool also highlights influential citations and tracks research trends, helping users stay updated with the latest developments in their field. Semantic Scholar is particularly useful for researchers who need to navigate large volumes of academic literature quickly and efficiently.

Semantic Scholar

  • Key features

    Advanced search capabilities, AI-powered recommendations, Citation analysis, Research trend tracking, Personalized research alerts
  • Who is using?

    Researchers, Academics, Students, Librarians, Science communicators
  • Use case

    Finding relevant academic papers, Analyzing citations and research impact, Staying updated with the latest research trends
  • Pricing

    Free
  • Official website

    https://www.semanticscholar.org

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