sumy LexRankSummarizer() proper formatting of output text












0















I am trying to get the output as string using LexRankSummarizer in sumy library.
I am using the following code (pretty straightforward)



parser = PlaintextParser.from_string(text,Tokenizer('english'))
summarizer = LexRankSummarizer()
sum_1 = summarizer(parser.document,10)
sum_lex=
for sent in sum_1:
sum_lex.append(sent)


using the above code I am getting an output which is in the form of tuple. Consider a summary as given below from a text as input



The Mahājanapadas were sixteen kingdoms or oligarchic republics that existed in ancient India from the sixth to fourth centuries BCE.
Two of them were most probably ganatantras (republics) and others had forms of monarchy.


Using the above code I am getting an output as



sum_lex = [<Sentence: The Mahājanapadas were sixteen kingdoms or oligarchic republics that existed in ancient India from the sixth to fourth centuries BCE.>,
<Sentence: Two of them were most probably ganatantras (republics) and others had forms of monarchy.>]


However, if I use print(sent) I am getting proper output as given above.
How to tackle this issue?










share|improve this question



























    0















    I am trying to get the output as string using LexRankSummarizer in sumy library.
    I am using the following code (pretty straightforward)



    parser = PlaintextParser.from_string(text,Tokenizer('english'))
    summarizer = LexRankSummarizer()
    sum_1 = summarizer(parser.document,10)
    sum_lex=
    for sent in sum_1:
    sum_lex.append(sent)


    using the above code I am getting an output which is in the form of tuple. Consider a summary as given below from a text as input



    The Mahājanapadas were sixteen kingdoms or oligarchic republics that existed in ancient India from the sixth to fourth centuries BCE.
    Two of them were most probably ganatantras (republics) and others had forms of monarchy.


    Using the above code I am getting an output as



    sum_lex = [<Sentence: The Mahājanapadas were sixteen kingdoms or oligarchic republics that existed in ancient India from the sixth to fourth centuries BCE.>,
    <Sentence: Two of them were most probably ganatantras (republics) and others had forms of monarchy.>]


    However, if I use print(sent) I am getting proper output as given above.
    How to tackle this issue?










    share|improve this question

























      0












      0








      0








      I am trying to get the output as string using LexRankSummarizer in sumy library.
      I am using the following code (pretty straightforward)



      parser = PlaintextParser.from_string(text,Tokenizer('english'))
      summarizer = LexRankSummarizer()
      sum_1 = summarizer(parser.document,10)
      sum_lex=
      for sent in sum_1:
      sum_lex.append(sent)


      using the above code I am getting an output which is in the form of tuple. Consider a summary as given below from a text as input



      The Mahājanapadas were sixteen kingdoms or oligarchic republics that existed in ancient India from the sixth to fourth centuries BCE.
      Two of them were most probably ganatantras (republics) and others had forms of monarchy.


      Using the above code I am getting an output as



      sum_lex = [<Sentence: The Mahājanapadas were sixteen kingdoms or oligarchic republics that existed in ancient India from the sixth to fourth centuries BCE.>,
      <Sentence: Two of them were most probably ganatantras (republics) and others had forms of monarchy.>]


      However, if I use print(sent) I am getting proper output as given above.
      How to tackle this issue?










      share|improve this question














      I am trying to get the output as string using LexRankSummarizer in sumy library.
      I am using the following code (pretty straightforward)



      parser = PlaintextParser.from_string(text,Tokenizer('english'))
      summarizer = LexRankSummarizer()
      sum_1 = summarizer(parser.document,10)
      sum_lex=
      for sent in sum_1:
      sum_lex.append(sent)


      using the above code I am getting an output which is in the form of tuple. Consider a summary as given below from a text as input



      The Mahājanapadas were sixteen kingdoms or oligarchic republics that existed in ancient India from the sixth to fourth centuries BCE.
      Two of them were most probably ganatantras (republics) and others had forms of monarchy.


      Using the above code I am getting an output as



      sum_lex = [<Sentence: The Mahājanapadas were sixteen kingdoms or oligarchic republics that existed in ancient India from the sixth to fourth centuries BCE.>,
      <Sentence: Two of them were most probably ganatantras (republics) and others had forms of monarchy.>]


      However, if I use print(sent) I am getting proper output as given above.
      How to tackle this issue?







      python nlp






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      asked Nov 26 '18 at 4:56









      pythondumbpythondumb

      1258




      1258
























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          Replacing sum_lex.append(sent) with sum_lex.append(str(sent)) should do.






          share|improve this answer























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            Replacing sum_lex.append(sent) with sum_lex.append(str(sent)) should do.






            share|improve this answer




























              1














              Replacing sum_lex.append(sent) with sum_lex.append(str(sent)) should do.






              share|improve this answer


























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                1








                1







                Replacing sum_lex.append(sent) with sum_lex.append(str(sent)) should do.






                share|improve this answer













                Replacing sum_lex.append(sent) with sum_lex.append(str(sent)) should do.







                share|improve this answer












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                answered Nov 26 '18 at 7:33









                Srce CdeSrce Cde

                1,184612




                1,184612
































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