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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
 14 Hours

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