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?
python machine-learning nlp gensim word2vec
asked Nov 12 '18 at 15:12
Eliyah
3431525
add a comment |
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?
python machine-learning nlp gensim word2vec
asked Nov 12 '18 at 15:12
Eliyah
3431525
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
add a comment |
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?
python machine-learning nlp gensim word2vec
asked Nov 12 '18 at 15:12
Eliyah
3431525
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
python machine-learning nlp gensim word2vec
asked Nov 12 '18 at 15:12
Eliyah
3431525
asked Nov 12 '18 at 15:12
Eliyah
3431525
edited Nov 13 '18 at 6:17
asked Nov 12 '18 at 15:12
Eliyah
3431525
asked Nov 12 '18 at 15:12
Eliyah
3431525
asked Nov 12 '18 at 15:12
Eliyah
3431525
3431525
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
add a comment |
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
add a comment |
1 Answer
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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.
answered Nov 12 '18 at 15:22
yatu
5,1961423
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
add a comment |
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1 Answer
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votes
1 Answer
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active
oldest
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oldest
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oldest
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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.
answered Nov 12 '18 at 15:22
yatu
5,1961423
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
add a comment |
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.
answered Nov 12 '18 at 15:22
yatu
5,1961423
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
add a comment |
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.
answered Nov 12 '18 at 15:22
yatu
5,1961423
You can use the similar_by_vector() method from your model to find the top-N most similar words by vector.
Hope this helps.
answered Nov 12 '18 at 15:22
yatu
5,1961423
answered Nov 12 '18 at 15:22
yatu
5,1961423
answered Nov 12 '18 at 15:22
yatu
5,1961423
answered Nov 12 '18 at 15:22
yatu
5,1961423
5,1961423
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
add a comment |
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
add a comment |
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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