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@Viole-Grace
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changes:

  • added function to abstract running list of input strings or a single string
  • optimised performance by incorporating nlp.pipe() to form doc, which grants speed advantages for longer doc / large number of input strings
  • updated testing notebook with examples of multiple string extraction
  • updated readme to reflect latest changes for single string keyword extraction + multiple string keyword extraction

@sahyagiri
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sahyagiri commented Feb 22, 2022

Thanks a lot for the pull request. At present I plan to keep the API simple with single document and single set of keywords.

  • For multiple documents, can you create a wrapper function, say "distinct_keywords.get_multiple_doc_keywords(docs) ?
  • Keep the example notebook minimal
  • I would welcome any step for single document keyword extraction, that is making it faster and consistent over larger documents

@Viole-Grace
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changes:

  • added separate functions for running a list of input strings or a single string
  • optimised performance by incorporating nlp.pipe() to form doc, which grants speed advantages for longer doc / large number of input strings for both functions
  • updated testing notebook with examples of multiple string extraction
  • updated readme to reflect latest changes for single string keyword extraction + multiple string keyword extraction

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2 participants