Open Source Text Processing Project: TextRank

Deep Learning Specialization on Coursera

Python implementation of TextRank algorithm

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This is a python implementation of TextRank for automatic keyword and sentence extraction (summarization) as done in 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

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

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