Python - Data Encoding Vector To Word












0














I have a code that converts word to vector. Below is my code:



# word_to_vec_demo.py

from gensim.models import word2vec
import logging

logging.basicConfig(format='%(asctime)s :
%(levelname)s : %(message)s', level=logging.INFO)

sentences = [['In', 'the', 'beginning', 'Abba','Yahweh', 'created', 'the',
'heaven', 'and', 'the', 'earth.', 'And', 'the', 'earth', 'was',
'without', 'form,', 'and', 'void;', 'and', 'darkness', 'was',
'upon', 'the', 'face', 'of', 'the', 'deep.', 'And', 'the',
'Spirit', 'of', 'Yahweh', 'moved', 'upon', 'the', 'face', 'of',
'the', 'waters.']]

model = word2vec.Word2Vec(sentences, size=10, min_count=1)

print("Vector for 'earth' is: n")
print(model.wv['earth'])

print("nEnd demo")


The output is



Vector for 'earth' is: 

[-0.00402722 0.0034133 0.01583795 0.01997946 0.04112177 0.00291858
-0.03854967 0.01581967 -0.02399057 0.00539708]


Is it possible to encode from array of vector to words? If yes, how will I implement it in Python?










share|improve this question
























  • You mean from the resulting vectors of Word2Vec?
    – yatu
    Nov 12 '18 at 15:15










  • @AlexandreNixon --> Yes sir. Is it possible?
    – Eliyah
    Nov 12 '18 at 15:18
















0














I have a code that converts word to vector. Below is my code:



# word_to_vec_demo.py

from gensim.models import word2vec
import logging

logging.basicConfig(format='%(asctime)s :
%(levelname)s : %(message)s', level=logging.INFO)

sentences = [['In', 'the', 'beginning', 'Abba','Yahweh', 'created', 'the',
'heaven', 'and', 'the', 'earth.', 'And', 'the', 'earth', 'was',
'without', 'form,', 'and', 'void;', 'and', 'darkness', 'was',
'upon', 'the', 'face', 'of', 'the', 'deep.', 'And', 'the',
'Spirit', 'of', 'Yahweh', 'moved', 'upon', 'the', 'face', 'of',
'the', 'waters.']]

model = word2vec.Word2Vec(sentences, size=10, min_count=1)

print("Vector for 'earth' is: n")
print(model.wv['earth'])

print("nEnd demo")


The output is



Vector for 'earth' is: 

[-0.00402722 0.0034133 0.01583795 0.01997946 0.04112177 0.00291858
-0.03854967 0.01581967 -0.02399057 0.00539708]


Is it possible to encode from array of vector to words? If yes, how will I implement it in Python?










share|improve this question
























  • You mean from the resulting vectors of Word2Vec?
    – yatu
    Nov 12 '18 at 15:15










  • @AlexandreNixon --> Yes sir. Is it possible?
    – Eliyah
    Nov 12 '18 at 15:18














0












0








0







I have a code that converts word to vector. Below is my code:



# word_to_vec_demo.py

from gensim.models import word2vec
import logging

logging.basicConfig(format='%(asctime)s :
%(levelname)s : %(message)s', level=logging.INFO)

sentences = [['In', 'the', 'beginning', 'Abba','Yahweh', 'created', 'the',
'heaven', 'and', 'the', 'earth.', 'And', 'the', 'earth', 'was',
'without', 'form,', 'and', 'void;', 'and', 'darkness', 'was',
'upon', 'the', 'face', 'of', 'the', 'deep.', 'And', 'the',
'Spirit', 'of', 'Yahweh', 'moved', 'upon', 'the', 'face', 'of',
'the', 'waters.']]

model = word2vec.Word2Vec(sentences, size=10, min_count=1)

print("Vector for 'earth' is: n")
print(model.wv['earth'])

print("nEnd demo")


The output is



Vector for 'earth' is: 

[-0.00402722 0.0034133 0.01583795 0.01997946 0.04112177 0.00291858
-0.03854967 0.01581967 -0.02399057 0.00539708]


Is it possible to encode from array of vector to words? If yes, how will I implement it in Python?










share|improve this question















I have a code that converts word to vector. Below is my code:



# word_to_vec_demo.py

from gensim.models import word2vec
import logging

logging.basicConfig(format='%(asctime)s :
%(levelname)s : %(message)s', level=logging.INFO)

sentences = [['In', 'the', 'beginning', 'Abba','Yahweh', 'created', 'the',
'heaven', 'and', 'the', 'earth.', 'And', 'the', 'earth', 'was',
'without', 'form,', 'and', 'void;', 'and', 'darkness', 'was',
'upon', 'the', 'face', 'of', 'the', 'deep.', 'And', 'the',
'Spirit', 'of', 'Yahweh', 'moved', 'upon', 'the', 'face', 'of',
'the', 'waters.']]

model = word2vec.Word2Vec(sentences, size=10, min_count=1)

print("Vector for 'earth' is: n")
print(model.wv['earth'])

print("nEnd demo")


The output is



Vector for 'earth' is: 

[-0.00402722 0.0034133 0.01583795 0.01997946 0.04112177 0.00291858
-0.03854967 0.01581967 -0.02399057 0.00539708]


Is it possible to encode from array of vector to words? If yes, how will I implement it in Python?







python machine-learning nlp gensim word2vec






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edited Nov 13 '18 at 6:17

























asked Nov 12 '18 at 15:12









Eliyah

3431526




3431526












  • You mean from the resulting vectors of Word2Vec?
    – yatu
    Nov 12 '18 at 15:15










  • @AlexandreNixon --> Yes sir. Is it possible?
    – Eliyah
    Nov 12 '18 at 15:18


















  • You mean from the resulting vectors of Word2Vec?
    – yatu
    Nov 12 '18 at 15:15










  • @AlexandreNixon --> Yes sir. Is it possible?
    – Eliyah
    Nov 12 '18 at 15:18
















You mean from the resulting vectors of Word2Vec?
– yatu
Nov 12 '18 at 15:15




You mean from the resulting vectors of Word2Vec?
– yatu
Nov 12 '18 at 15:15












@AlexandreNixon --> Yes sir. Is it possible?
– Eliyah
Nov 12 '18 at 15:18




@AlexandreNixon --> Yes sir. Is it possible?
– Eliyah
Nov 12 '18 at 15:18












1 Answer
1






active

oldest

votes


















2














You can use the similar_by_vector() method from your model to find the top-N most similar words by vector.
Hope this helps.






share|improve this answer





















  • Thanks , I have one additional question, can I use wordtovector to train my neural network? See my stackoverflow.com/questions/52982719/…
    – Eliyah
    Nov 12 '18 at 15:27






  • 1




    Yes. If you want to train a deep learning model with text you must feed it with some word embedding or encoding of the input data.
    – yatu
    Nov 12 '18 at 15:55










  • Please consider setting the answer as correct. Thank you.
    – yatu
    Nov 13 '18 at 8:58











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









2














You can use the similar_by_vector() method from your model to find the top-N most similar words by vector.
Hope this helps.






share|improve this answer





















  • Thanks , I have one additional question, can I use wordtovector to train my neural network? See my stackoverflow.com/questions/52982719/…
    – Eliyah
    Nov 12 '18 at 15:27






  • 1




    Yes. If you want to train a deep learning model with text you must feed it with some word embedding or encoding of the input data.
    – yatu
    Nov 12 '18 at 15:55










  • Please consider setting the answer as correct. Thank you.
    – yatu
    Nov 13 '18 at 8:58
















2














You can use the similar_by_vector() method from your model to find the top-N most similar words by vector.
Hope this helps.






share|improve this answer





















  • Thanks , I have one additional question, can I use wordtovector to train my neural network? See my stackoverflow.com/questions/52982719/…
    – Eliyah
    Nov 12 '18 at 15:27






  • 1




    Yes. If you want to train a deep learning model with text you must feed it with some word embedding or encoding of the input data.
    – yatu
    Nov 12 '18 at 15:55










  • Please consider setting the answer as correct. Thank you.
    – yatu
    Nov 13 '18 at 8:58














2












2








2






You can use the similar_by_vector() method from your model to find the top-N most similar words by vector.
Hope this helps.






share|improve this answer












You can use the similar_by_vector() method from your model to find the top-N most similar words by vector.
Hope this helps.







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 12 '18 at 15:22









yatu

5,2211423




5,2211423












  • Thanks , I have one additional question, can I use wordtovector to train my neural network? See my stackoverflow.com/questions/52982719/…
    – Eliyah
    Nov 12 '18 at 15:27






  • 1




    Yes. If you want to train a deep learning model with text you must feed it with some word embedding or encoding of the input data.
    – yatu
    Nov 12 '18 at 15:55










  • Please consider setting the answer as correct. Thank you.
    – yatu
    Nov 13 '18 at 8:58


















  • Thanks , I have one additional question, can I use wordtovector to train my neural network? See my stackoverflow.com/questions/52982719/…
    – Eliyah
    Nov 12 '18 at 15:27






  • 1




    Yes. If you want to train a deep learning model with text you must feed it with some word embedding or encoding of the input data.
    – yatu
    Nov 12 '18 at 15:55










  • Please consider setting the answer as correct. Thank you.
    – yatu
    Nov 13 '18 at 8:58
















Thanks , I have one additional question, can I use wordtovector to train my neural network? See my stackoverflow.com/questions/52982719/…
– Eliyah
Nov 12 '18 at 15:27




Thanks , I have one additional question, can I use wordtovector to train my neural network? See my stackoverflow.com/questions/52982719/…
– Eliyah
Nov 12 '18 at 15:27




1




1




Yes. If you want to train a deep learning model with text you must feed it with some word embedding or encoding of the input data.
– yatu
Nov 12 '18 at 15:55




Yes. If you want to train a deep learning model with text you must feed it with some word embedding or encoding of the input data.
– yatu
Nov 12 '18 at 15:55












Please consider setting the answer as correct. Thank you.
– yatu
Nov 13 '18 at 8:58




Please consider setting the answer as correct. Thank you.
– yatu
Nov 13 '18 at 8:58


















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