textsum
14 hours (usually 2 days including breaks)
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:
Audience
Format of the course
Introduction to Text Summarization with Python
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+
Summarization
Creating a Python application using pysummarization library on Python 2.7/3.3+
Creating a Python application using readless library on Python 2.7/3.3+
Creating simple Python test code that uses readless library to generate a text summary
Troubleshooting and debugging
Closing Remarks
No course discounts for now.
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