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TextRank implementation for text summarization and keyword extraction in Python.

• Text summarization
• Keyword extraction

Text summarization:

>>> text = """Automatic summarization is the process of reducing a text document with acomputer program in order to create a summary that retains the most important pointsof the original document. As the problem of information overload has grown, and asthe quantity of data has increased, so has interest in automatic summarization.Technologies that can make a coherent summary take into account variables such aslength, writing style and syntax. An example of the use of summarization technologyis search engines such as Google. Document summarization is another.""">>> from summa import summarizer>>> print(summarizer.summarize(text))'Automatic summarization is the process of reducing a text document with a computerprogram in order to create a summary that retains the most important points of theoriginal document.'

Keyword extraction:

>>> from summa import keywords>>> print(keywords.keywords(text))documentsummarizationwritingaccount

This software depends onNumPy and Scipy, two Python packages for scientific computing.Pip will automatically install them along with summa:

pip install summa

For a better performance of keyword extraction, installPattern

• Command-line usage:

  textrank -t FILE

• Define length of the summary as a proportion of the text (also available inkeywords):

  >>> from summa.summarizer import summarize>>> summarize(text, ratio=0.2)

• Define length of the summary by aproximate number of words (also available inkeywords):

  >>> summarize(text, words=50)

• Define input text language (also available inkeywords):

  >>> summarize(text, language='spanish')

The available languages are "danish", "dutch", "english", "finnish", "french", "german", "hungarian", "italian", "norwegian", "porter", "portuguese", "romanian", "russian", "spanish", "swedish"

• Get results as a list (also available inkeywords):

  >>> summarize(text, split=True)['Automatic summarization is the process of reducing a text document with acomputer program in order to create a summary that retains the most importantpoints of the original document.']

Summa is open source software released under theThe MIT License (MIT).Copyright (c) 2014 - now Summa NLP