Throws zero division error

pke/pke/unsupervised/graph_based/topicrank.py

Line 189 in 5af1f81

self.graph[i][j]['weight'] += 1.0 / gap

This line throws zerodivision error when we try to use ngram_selection=5.

Please share a minimal reproducible example to make debugging easier.
Related PR #177 and issues #142, #77, #27

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.

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