Course Outline
Introduction to Text Summarization with Python
- Comparing sample text with auto-generated summaries.
- Installing sumy (a Python Command-Line Executable for Text Summarization).
- Using sumy as a Command-Line Text Summarization Utility (Hands-On Exercise).
Evaluating three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, and readless 1.0.17 based on documented features.
Choosing a library: sumy, pysummarization, or readless.
Creating a Python application using the sumy library on Python 2.7/3.3+.
- Installing the sumy library for Text Summarization.
- Using the Edmundson (Extraction) method in the sumy Python Library for Text.
Creating simple Python test code that utilizes the sumy library to generate a text summary.
Creating a Python application using the pysummarization library on Python 2.7/3.3+.
- Installing the pysummarization library for Text Summarization.
- Using the pysummarization library for Text Summarization.
- Creating simple Python test code that utilizes the pysummarization library to generate a text summary.
Creating a Python application using the readless library on Python 2.7/3.3+.
- Installing the readless library for Text Summarization.
- Using the readless library for Text Summarization.
Creating simple Python test code that utilizes the readless library to generate a text summary.
Troubleshooting and debugging.
Closing Remarks.
Requirements
- A solid understanding of Python programming (Python 2.7/3.3+).
- General knowledge of Python libraries.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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