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How to get the similar sounding words together


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6















I am trying to get all the similar sounding words from a list



I tried to get them using cosine similarity but that does not fulfill my purpose



from sklearn.metrics.pairwise import cosine_similarity
dataList = ['two','fourth','forth','dessert','to','desert']
cosine_similarity(dataList)


I know this is not the right approach, I cannot seam to get a result like:



result = ['xx', 'xx', 'yy', 'yy', 'zz', 'zz'] 


where they mean that the words which sound similar










share|improve this question









New contributor




Marc Stoch is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

























    6















    I am trying to get all the similar sounding words from a list



    I tried to get them using cosine similarity but that does not fulfill my purpose



    from sklearn.metrics.pairwise import cosine_similarity
    dataList = ['two','fourth','forth','dessert','to','desert']
    cosine_similarity(dataList)


    I know this is not the right approach, I cannot seam to get a result like:



    result = ['xx', 'xx', 'yy', 'yy', 'zz', 'zz'] 


    where they mean that the words which sound similar










    share|improve this question









    New contributor




    Marc Stoch is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























      6












      6








      6








      I am trying to get all the similar sounding words from a list



      I tried to get them using cosine similarity but that does not fulfill my purpose



      from sklearn.metrics.pairwise import cosine_similarity
      dataList = ['two','fourth','forth','dessert','to','desert']
      cosine_similarity(dataList)


      I know this is not the right approach, I cannot seam to get a result like:



      result = ['xx', 'xx', 'yy', 'yy', 'zz', 'zz'] 


      where they mean that the words which sound similar










      share|improve this question









      New contributor




      Marc Stoch is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      I am trying to get all the similar sounding words from a list



      I tried to get them using cosine similarity but that does not fulfill my purpose



      from sklearn.metrics.pairwise import cosine_similarity
      dataList = ['two','fourth','forth','dessert','to','desert']
      cosine_similarity(dataList)


      I know this is not the right approach, I cannot seam to get a result like:



      result = ['xx', 'xx', 'yy', 'yy', 'zz', 'zz'] 


      where they mean that the words which sound similar







      python python-3.x list






      share|improve this question









      New contributor




      Marc Stoch is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question









      New contributor




      Marc Stoch is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question








      edited 1 hour ago









      DirtyBit

      10.2k21640




      10.2k21640






      New contributor




      Marc Stoch is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 1 hour ago









      Marc StochMarc Stoch

      312




      312




      New contributor




      Marc Stoch is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.





      New contributor





      Marc Stoch is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      Marc Stoch is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.
























          1 Answer
          1






          active

          oldest

          votes


















          6














          First you need to use a proper way to get the similar sounding words i.e. string similarity, I would suggest:



          Using jellyfish:



          from jellyfish import soundex

          print(soundex("two"))
          print(soundex("to"))


          OUTPUT:



          T000
          T000


          Now perhaps, create a function that would handle the list and then sort it to get them:



          def isSoundex(dList):
          res = [soundex(x) for x in dList] # iterate over each elem in the dataList
          # print(res) # ['T000', 'F630', 'F630', 'D263', 'T000', 'D263']
          return res

          dataList = ['two','fourth','forth','dessert','to','desert']
          res = isSoundex(dataList)

          print([x for x in sorted(res)])


          OUTPUT:



          ['D263', 'D263', 'F630', 'F630', 'T000', 'T000']


          EDIT:



          Another way could be:



          Using fuzzy:



          import fuzzy
          soundex = fuzzy.Soundex(4)

          print(soundex("to"))
          print(soundex("two"))


          OUTPUT:



          T000
          T000





          share|improve this answer


























          • lib link please :)

            – Nihal
            1 hour ago






          • 1





            @Nihal updated! :)

            – DirtyBit
            1 hour ago











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          6














          First you need to use a proper way to get the similar sounding words i.e. string similarity, I would suggest:



          Using jellyfish:



          from jellyfish import soundex

          print(soundex("two"))
          print(soundex("to"))


          OUTPUT:



          T000
          T000


          Now perhaps, create a function that would handle the list and then sort it to get them:



          def isSoundex(dList):
          res = [soundex(x) for x in dList] # iterate over each elem in the dataList
          # print(res) # ['T000', 'F630', 'F630', 'D263', 'T000', 'D263']
          return res

          dataList = ['two','fourth','forth','dessert','to','desert']
          res = isSoundex(dataList)

          print([x for x in sorted(res)])


          OUTPUT:



          ['D263', 'D263', 'F630', 'F630', 'T000', 'T000']


          EDIT:



          Another way could be:



          Using fuzzy:



          import fuzzy
          soundex = fuzzy.Soundex(4)

          print(soundex("to"))
          print(soundex("two"))


          OUTPUT:



          T000
          T000





          share|improve this answer


























          • lib link please :)

            – Nihal
            1 hour ago






          • 1





            @Nihal updated! :)

            – DirtyBit
            1 hour ago
















          6














          First you need to use a proper way to get the similar sounding words i.e. string similarity, I would suggest:



          Using jellyfish:



          from jellyfish import soundex

          print(soundex("two"))
          print(soundex("to"))


          OUTPUT:



          T000
          T000


          Now perhaps, create a function that would handle the list and then sort it to get them:



          def isSoundex(dList):
          res = [soundex(x) for x in dList] # iterate over each elem in the dataList
          # print(res) # ['T000', 'F630', 'F630', 'D263', 'T000', 'D263']
          return res

          dataList = ['two','fourth','forth','dessert','to','desert']
          res = isSoundex(dataList)

          print([x for x in sorted(res)])


          OUTPUT:



          ['D263', 'D263', 'F630', 'F630', 'T000', 'T000']


          EDIT:



          Another way could be:



          Using fuzzy:



          import fuzzy
          soundex = fuzzy.Soundex(4)

          print(soundex("to"))
          print(soundex("two"))


          OUTPUT:



          T000
          T000





          share|improve this answer


























          • lib link please :)

            – Nihal
            1 hour ago






          • 1





            @Nihal updated! :)

            – DirtyBit
            1 hour ago














          6












          6








          6







          First you need to use a proper way to get the similar sounding words i.e. string similarity, I would suggest:



          Using jellyfish:



          from jellyfish import soundex

          print(soundex("two"))
          print(soundex("to"))


          OUTPUT:



          T000
          T000


          Now perhaps, create a function that would handle the list and then sort it to get them:



          def isSoundex(dList):
          res = [soundex(x) for x in dList] # iterate over each elem in the dataList
          # print(res) # ['T000', 'F630', 'F630', 'D263', 'T000', 'D263']
          return res

          dataList = ['two','fourth','forth','dessert','to','desert']
          res = isSoundex(dataList)

          print([x for x in sorted(res)])


          OUTPUT:



          ['D263', 'D263', 'F630', 'F630', 'T000', 'T000']


          EDIT:



          Another way could be:



          Using fuzzy:



          import fuzzy
          soundex = fuzzy.Soundex(4)

          print(soundex("to"))
          print(soundex("two"))


          OUTPUT:



          T000
          T000





          share|improve this answer















          First you need to use a proper way to get the similar sounding words i.e. string similarity, I would suggest:



          Using jellyfish:



          from jellyfish import soundex

          print(soundex("two"))
          print(soundex("to"))


          OUTPUT:



          T000
          T000


          Now perhaps, create a function that would handle the list and then sort it to get them:



          def isSoundex(dList):
          res = [soundex(x) for x in dList] # iterate over each elem in the dataList
          # print(res) # ['T000', 'F630', 'F630', 'D263', 'T000', 'D263']
          return res

          dataList = ['two','fourth','forth','dessert','to','desert']
          res = isSoundex(dataList)

          print([x for x in sorted(res)])


          OUTPUT:



          ['D263', 'D263', 'F630', 'F630', 'T000', 'T000']


          EDIT:



          Another way could be:



          Using fuzzy:



          import fuzzy
          soundex = fuzzy.Soundex(4)

          print(soundex("to"))
          print(soundex("two"))


          OUTPUT:



          T000
          T000






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited 56 mins ago

























          answered 1 hour ago









          DirtyBitDirtyBit

          10.2k21640




          10.2k21640













          • lib link please :)

            – Nihal
            1 hour ago






          • 1





            @Nihal updated! :)

            – DirtyBit
            1 hour ago



















          • lib link please :)

            – Nihal
            1 hour ago






          • 1





            @Nihal updated! :)

            – DirtyBit
            1 hour ago

















          lib link please :)

          – Nihal
          1 hour ago





          lib link please :)

          – Nihal
          1 hour ago




          1




          1





          @Nihal updated! :)

          – DirtyBit
          1 hour ago





          @Nihal updated! :)

          – DirtyBit
          1 hour ago












          Marc Stoch is a new contributor. Be nice, and check out our Code of Conduct.










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