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textrank's Introduction

This is a python implementation of TextRank for automatic keyword and sentence extraction (summarization) as done in https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf. However, this implementation uses Levenshtein Distance as the relation between text units.

This implementation carries out automatic keyword and sentence extraction on 10 articles gotten from http://theonion.com

  • 100 word summary
  • Number of keywords extracted is relative to the size of the text (a third of the number of nodes in the graph)
  • Adjacent keywords in the text are concatenated into keyphrases

Dependencies

Networkx - http://networkx.github.io/download.html NLTK 3.0 - http://nltk.org/install.html Numpy - http://sourceforge.net/projects/numpy/files/

textrank's People

Contributors

davidadamojr avatar vinayak-mehta avatar

Watchers

James Cloos avatar Callum Harrod avatar

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