Comments (3)
Please share a minimal reproducible example to make debugging easier.
Related PR #177 and issues #142, #77, #27
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Example code:
extractor = pke.unsupervised.TopicRank()
extractor.load_document(input = total_text,
language = 'en')
#extractor.candidate_selection()
extractor.ngram_selection(n=3)
#this default weight was 0.74 in original algorithm
extractor.candidate_weighting(threshold = 0.2)
keyphrases_response = extractor.get_n_best(n = 30,
redundancy_removal = True)
When we remove the candidate weighting line, i.e. let it choose default 0.74 value, then it starts generating empty phrase list. Hope this helps.
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Please try to see whether any candidates were selected using len(extractor.candidates)
before extractor.candidate_weighting
.
Does the code you provided throws ZerodivisionError ? I can't reproduce the behaviour as I don't know what total_text
contains.
About Minimal Reproducible Examples
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Related Issues (20)
- Langcode "ge" does not work with spacy HOT 2
- max_length parameter error with the latest version HOT 1
- Keyword dataset HOT 1
- How to manipulate length of key-phrases? HOT 3
- AttributeError: module 'scipy.sparse' has no attribute 'coo_array' HOT 1
- sklearn is deprecated, breaks PKE HOT 1
- error while installing pke HOT 1
- SnowballStemmer and Spacy-model use different langcodes HOT 1
- Error: module 'scipy.sparse' has no attribute 'coo_array' HOT 1
- KP-Miner: why candidate_df is 1 for n-grams except unigram? HOT 1
- Error in PositionRank: tuple index out of range HOT 1
- Error in TopicalPageRank: 'numpy.ndarray' object has no attribute 'index' HOT 3
- Does not support Chinese? HOT 1
- PositionRank algorithm fails with networkx version 3.0: IndexError in `candidate_weighting()` method HOT 1
- LookupError: Can't find any language named 'hinglish' HOT 1
- Memory leak in TopicRank HOT 5
- hinglish key error HOT 1
- extractor.load_document (Spacy) limitation of 1000000 characters
- TfIdf still state of the art?
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