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@Pilot-NER Named-Entity Recognition for Transaction Memos

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    4 repositories

    • Natural-Language-Processing-Name-Entity-Extraction

      Public
      Using Conditional Random Field (CRF) model for Named-Entity Recognition. Achieve 89% accuracy in extracting vendors' names and locations from bank memos provided by Pilot, Inc.
      Python
      •
      MIT License
      •3•6•0•0•Updated Apr 29, 2018Apr 29, 2018

    • Resources

      Public
      Sample Memos (.csv and .py file)
      Python
      •0•1•0•0•Updated Apr 22, 2018Apr 22, 2018

    • About

      Public
      Information about our Project
      0•0•0•0•Updated Apr 22, 2018Apr 22, 2018

    • Rule-based-Named-Entity-Recognition

      Public
      We reached an accuracy of 75% in extracting vendors' names from transaction memos based on human-identified patterns
      Python
      •
      MIT License
      •6•23•0•0•Updated Apr 21, 2018Apr 21, 2018