Duration
14 hours (usually 2 days including breaks)
Requirements
- An understanding of Python programming (Python 2.7/3.3+)
- An understanding of Python libraries in general
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 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