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View Code? Open in Web Editor NEWA python implementation of the Rapid Automatic Keyword Extraction
License: MIT License
A python implementation of the Rapid Automatic Keyword Extraction
License: MIT License
Nice, But the key word is too long to obtain
Would it be possible to create a tool for using RAKE?
Hello,
in rake.py:125, shouldn't
self.__stop_words_pattern = build_stop_word_regex(stoppath)
be:
self.__stop_words_pattern = build_stop_word_regex(stop_words_path)
?
It should be:
Rose S, Engel D, Cramer N, and Cowley, W. Automatic Keyword Extraction from Individual Documents, In: Berry MW, Kogan J, editors. Text Mining: Applications and Theory. Chichester, UK: John Wiley & Sons; 2010. doi: 10.1002/9780470689646.ch1
It looks like some parts of the code are not able to work with the latest releases of Python.
below code is used in rake.py
sorted_keywords = sorted(keyword_candidates.iteritems(), key=operator.itemgetter(1), reverse=True)
However, iteritems() is no longer supported in python 3, this makes that the code cannot be used in the latest releases of Python.
i understand keyword extraction.Kindly explain how it is done using RAKE ?
This would be a great package to have in pypi, especially if it were python3 compatible. Is the project still being actively maintained? Are you looking for a maintainer? I would be happy to help any way I can.
As described in RAKE paper, section 1.2.3 Adjoining Keywords, is there any function implemented to adjoin the keywords - identifying keywords that contain interior stop words such as "axis of evil"?
Dear ,
Can we restrict the Keyword, I mean can we push the list to RAKE and RAKE look for only that ?
Thanks & Regards,
Vinod Nambiar.
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