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corei5 avatar corei5 commented on June 13, 2024

Hello @dhariyalbhaskar

I think you try to get input a Dataframe called Complaints. As far as I know, you need to give text or XML file as like as "SemEval 2010" dataset.

#..................................Code: ..........................................................

import pke

extractor = pke.unsupervised.MultipartiteRank()
extractor.load_document(input='/path/to/input.txt', language='en')
extractor.candidate_selection()
extractor.candidate_weighting()
keyphrases = extractor.get_n_best(n=10)
print(keyphrases )

#..........................................................OR:..................................................................

import pke
import string
from nltk.corpus import stopwords

extractor = pke.unsupervised.MultipartiteRank()
extractor.load_document(input='path/to/input.xml')
pos = {'NOUN', 'PROPN', 'ADJ'}
stoplist = list(string.punctuation)
stoplist += ['-lrb-', '-rrb-', '-lcb-', '-rcb-', '-lsb-', '-rsb-']
stoplist += stopwords.words('english')
extractor.candidate_selection(pos=pos, stoplist=stoplist)
extractor.candidate_weighting(alpha=1.1, threshold=0.74,method='average')
keyphrases = extractor.get_n_best(n=10)
print(keyphrases )

[1] https://github.com/boudinfl/pke/blob/master/pke/unsupervised/graph_based/multipartiterank.py

from pke.

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