logo
ReCoDE Home
Patent Analysis
Initializing search
    • Exemplars
    • About
    • Getting started
    • Topics
    • Coming Soon
    • People
    • Contributing
    • Developing
    • Contact
    • Licence
    • Exemplars
      • All exemplars
          • bash
          • C++
          • Fortran
          • Julia
          • Python
          • R
          • Astrophysics
          • Behavioral Science
          • Bioinformatics
          • Chemical Engineering
          • Environmental Science
          • Epidemiology
          • Finance
          • Fluid Dynamics
          • Genetics
          • Machine Learning
          • Mathematics
          • Medicine
          • Nuclear Engineering
          • Patent Analysis
          • Physics
          • Population Dynamics
          • Quantum Mechanics
          • Robotics
          • Software Engineering
          • Bayesian Inference
          • Computer Vision
          • Data Analysis
          • Deep Learning
          • GUI Development
          • Machine Learning
          • Natural Language Processing
          • Numerical Computing
          • Numerical Methods
          • Sequence Analysis
          • Statistical Analysis
          • Survival Analysis
    • About
    • Getting started
    • Topics
    • Coming Soon
    • People
    • Contributing
    • Developing
    • Contact
    • Licence

    Patent Analysis

    Now browsing by discipline, filtering for projects tagged Patent Analysis.
    • Binary Classification of Patent Texts
      Egheosa Ogbomo

      Python


      Binary Classification of Patent Texts

      Get Started

      NumPy, Tensorflow, Scikit Learn, Object Oriented Programming, Data Analysis, Machine Learning, NLTK, Natural Language Processing, Patents, Statistics

      See it on GitHub

    © 2022 - 2025, Imperial College, London. All rights reserved. – Change cookie settings
    Made with Material for MkDocs

    Cookie consent

    We use cookies to recognize your repeated visits and preferences, as well as to measure the effectiveness of our documentation and whether users find what they're searching for. With your consent, you're helping us to make our documentation better.