Text Summarization with Python Training Course

Course CodeCourse Code

textsum

Duration Duration

14 hours (usually 2 days including breaks)

Requirements Requirements

  • An understanding of Python programming (Python 2.7/3.3+)
  • An understanding of Python libraries in general

Overview Overview

In Python Machine Learning, the Text Summarization feature is able to read the input text and produce a text summary. This capability is available from the command-line or as a Python API/Library. One exciting application is the rapid creation of executive summaries; this is particularly useful for organizations that need to review large bodies of text data before generating reports and presentations.

In this instructor-led, live training, participants will learn to use Python to create a simple application that auto-generates a summary of input text.

By the end of this training, participants will be able to:

  • Use a command-line tool that summarizes text.
  • Design and create Text Summarization code using Python libraries.
  • Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17

Audience

  • Developers
  • Data Scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Course OutlineCourse 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, readless 1.0.17 based on documented features

Choosing a library: sumy, pysummarization or readless

Creating a Python application using sumy library on Python 2.7/3.3+

  • Installing the sumy library for Text Summarization
  • Using the Edmundson (Extraction) method in sumy Python Library for Text

Summarization

  • Creating simple Python test code that uses sumy library to generate a text summary

Creating a Python application using pysummarization library on Python 2.7/3.3+

  • Installing pysummarization library for Text Summarization
  • Using the pysummarization library for Text Summarization
  • Creating simple Python test code that uses pysummarization library to generate a text summary

Creating a Python application using readless library on Python 2.7/3.3+

  • Installing readless library for Text Summarization
  • Using the readless library for Text Summarization

Creating simple Python test code that uses readless library to generate a text summary

Troubleshooting and debugging

Closing Remarks

Bookings, Prices and EnquiriesBookings, Prices and Enquiries

Guaranteed to run even with a single delegate!
Private Classroom
 
Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote
From £2200
Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet. More Information

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Private Remote
1 £2200
2 £1550
3 £1333
4 £1225
Public Classroom
From £2500
(88)
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom
1 £2500
2 £1725
3 £1467
4 £1338
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