Course Outline
Introduction to Text Summarization with Python
- Comparing sample text with auto-generated summaries for government use.
- Installing sumy, a Python command-line executable for text summarization for government applications.
- Using sumy as a command-line text summarization utility (hands-on exercise) for government operations.
Evaluating three Python summarization libraries—sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17—based on documented features 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 purposes.
- Installing the sumy library for text summarization for government use.
- Using the Edmundson (Extraction) method in the sumy Python library for text summarization for government applications.
Summarization
- Creating simple Python test code that uses the sumy library to generate a text summary for government operations.
Creating a Python application using the pysummarization library on Python 2.7/3.3+ for government purposes.
- Installing the pysummarization library for text summarization for government use.
- Using the pysummarization library for text summarization for government applications.
- Creating simple Python test code that uses the pysummarization library to generate a text summary for government operations.
Creating a Python application using the readless library on Python 2.7/3.3+ for government purposes.
- Installing the readless library for text summarization for government use.
- Using the readless library for text summarization for government applications.
Creating simple Python test code that uses the readless library to generate a text summary for government operations.
Troubleshooting and debugging for government applications.
Closing Remarks
Requirements
- A working knowledge of Python programming (Python 2.7/3.3+)
- Familiarity with Python libraries in general, for government applications and processes
Testimonials (2)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The trainer was very available to answer all te kind of question I did