Course Outline
Introduction to Text Summarization with Python for Government
- Comparing sample text with auto-generated summaries in government contexts
- Installing sumy (a Python Command-Line Executable for Text Summarization) for use in government applications
- Using sumy as a Command-Line Text Summarization Utility (Hands-On Exercise for Government)
Evaluating three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17 based on documented features and their suitability for government use
Choosing a library: sumy, pysummarization or readless for government applications
Creating a Python application using the sumy library on Python 2.7/3.3+ for government
- Installing the sumy library for Text Summarization in government systems
- Using the Edmundson (Extraction) method in the sumy Python Library for Text Summarization in government contexts
Summarization
- Creating simple Python test code that uses the sumy library to generate a text summary for government use
Creating a Python application using the pysummarization library on Python 2.7/3.3+ for government
- Installing the pysummarization library for Text Summarization in government systems
- Using the pysummarization library for Text Summarization in government applications
- Creating simple Python test code that uses the pysummarization library to generate a text summary for government use
Creating a Python application using the readless library on Python 2.7/3.3+ for government
- Installing the readless library for Text Summarization in government systems
- Using the readless library for Text Summarization in government applications
Creating simple Python test code that uses the readless library to generate a text summary for government use
Troubleshooting and debugging for government applications
Closing Remarks for Government Use
Requirements
- An understanding of Python programming (Python 2.7/3.3+)
- Familiarity with Python libraries in general, particularly those relevant for government applications
Testimonials (3)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
Trainer develops training based on participant's pace
