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text-extraction

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This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.

  • Updated May 15, 2024
  • Jupyter Notebook

The objective is to analyze text content from a list of URLs. This involves extracting article titles and text, then performing natural language processing to generate metrics like sentiment, readability, and word usage. Finally, the results are stored for further analysis or visualization.

  • Updated Apr 11, 2024
  • Jupyter Notebook

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