How to get the similar sounding words together

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

edited 1 hour ago

DirtyBit

10.2k21640

asked 1 hour ago

Marc Stoch

312

New contributor

add a comment |

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

edited 1 hour ago

DirtyBit

10.2k21640

asked 1 hour ago

Marc Stoch

312

New contributor

add a comment |

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

edited 1 hour ago

DirtyBit

10.2k21640

asked 1 hour ago

Marc Stoch

312

New contributor

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

edited 1 hour ago

DirtyBit

10.2k21640

asked 1 hour ago

Marc Stoch

312

New contributor

edited 1 hour ago

DirtyBit

10.2k21640

asked 1 hour ago

Marc Stoch

312

New contributor

edited 1 hour ago

DirtyBit

10.2k21640

edited 1 hour ago

DirtyBit

10.2k21640

edited 1 hour ago

DirtyBit

10.2k21640

asked 1 hour ago

Marc Stoch

312

New contributor

asked 1 hour ago

Marc Stoch

312

asked 1 hour ago

Marc Stoch

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.

add a comment |

1 Answer
1

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oldest

votes

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

edited 58 mins ago

answered 1 hour ago

DirtyBit

10.2k21640

lib link please :)

– Nihal
1 hour ago

1

@Nihal updated! :)

– DirtyBit
1 hour ago

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

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

edited 58 mins ago

answered 1 hour ago

DirtyBit

10.2k21640

lib link please :)

– Nihal
1 hour ago

1

@Nihal updated! :)

– DirtyBit
1 hour ago

add a comment |

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

edited 58 mins ago

answered 1 hour ago

DirtyBit

10.2k21640

lib link please :)

– Nihal
1 hour ago

1

@Nihal updated! :)

– DirtyBit
1 hour ago

add a comment |

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

edited 58 mins ago

answered 1 hour ago

DirtyBit

10.2k21640

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

edited 58 mins ago

answered 1 hour ago

DirtyBit

10.2k21640

edited 58 mins ago

answered 1 hour ago

DirtyBit

10.2k21640

answered 1 hour ago

DirtyBit

10.2k21640

answered 1 hour ago

DirtyBit

10.2k21640

lib link please :)

– Nihal
1 hour ago

1

@Nihal updated! :)

– DirtyBit
1 hour ago

add a comment |

lib link please :)

– Nihal
1 hour ago

1

@Nihal updated! :)

– DirtyBit
1 hour ago

lib link please :)

– Nihal
1 hour ago

@Nihal updated! :)

– DirtyBit
1 hour ago

add a comment |

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

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