TDIF toarray() returns an array of zeros
Multi tool use
$begingroup$
radius = tvec.fit_transform(test_df.Tweet_lemmatized)
c=tvec.get_feature_names()
print(radius)
This returns the correct values, but when i try to convert it to array, i get an array of zeros instead.
sample of correct values for radius:
(0, 931) 0.46436660485060216
(0, 861) 0.2968833582955266
(0, 484) 0.41499526789066504
(0, 363) 0.3991012474411105
(0, 560) 0.46436660485060216
(0, 1300) 0.3861148871586334
(1, 861) 0.31024421676439334
(1, 1252) 0.38207837156371705
(1, 935) 0.2915380548059053
(1, 894) 0.4852648341103948
(1, 299) 0.4550847285244575
(1, 670) 0.2766014729498025
(1, 1250) 0.3920175536236695
(2, 861) 0.30814515003485
but radius.toarray() and radius.todense() returns:
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
radius.shape is (498, 1776)
sentiment-analysis tfidf
asked 6 mins ago
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$endgroup$
add a comment |
$begingroup$
radius = tvec.fit_transform(test_df.Tweet_lemmatized)
c=tvec.get_feature_names()
print(radius)
This returns the correct values, but when i try to convert it to array, i get an array of zeros instead.
sample of correct values for radius:
(0, 931) 0.46436660485060216
(0, 861) 0.2968833582955266
(0, 484) 0.41499526789066504
(0, 363) 0.3991012474411105
(0, 560) 0.46436660485060216
(0, 1300) 0.3861148871586334
(1, 861) 0.31024421676439334
(1, 1252) 0.38207837156371705
(1, 935) 0.2915380548059053
(1, 894) 0.4852648341103948
(1, 299) 0.4550847285244575
(1, 670) 0.2766014729498025
(1, 1250) 0.3920175536236695
(2, 861) 0.30814515003485
but radius.toarray() and radius.todense() returns:
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
radius.shape is (498, 1776)
sentiment-analysis tfidf
asked 6 mins ago
IvyIvy
1
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
radius = tvec.fit_transform(test_df.Tweet_lemmatized)
c=tvec.get_feature_names()
print(radius)
This returns the correct values, but when i try to convert it to array, i get an array of zeros instead.
sample of correct values for radius:
(0, 931) 0.46436660485060216
(0, 861) 0.2968833582955266
(0, 484) 0.41499526789066504
(0, 363) 0.3991012474411105
(0, 560) 0.46436660485060216
(0, 1300) 0.3861148871586334
(1, 861) 0.31024421676439334
(1, 1252) 0.38207837156371705
(1, 935) 0.2915380548059053
(1, 894) 0.4852648341103948
(1, 299) 0.4550847285244575
(1, 670) 0.2766014729498025
(1, 1250) 0.3920175536236695
(2, 861) 0.30814515003485
but radius.toarray() and radius.todense() returns:
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
radius.shape is (498, 1776)
sentiment-analysis tfidf
asked 6 mins ago
IvyIvy
1
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
radius = tvec.fit_transform(test_df.Tweet_lemmatized)
c=tvec.get_feature_names()
print(radius)
This returns the correct values, but when i try to convert it to array, i get an array of zeros instead.
sample of correct values for radius:
(0, 931) 0.46436660485060216
(0, 861) 0.2968833582955266
(0, 484) 0.41499526789066504
(0, 363) 0.3991012474411105
(0, 560) 0.46436660485060216
(0, 1300) 0.3861148871586334
(1, 861) 0.31024421676439334
(1, 1252) 0.38207837156371705
(1, 935) 0.2915380548059053
(1, 894) 0.4852648341103948
(1, 299) 0.4550847285244575
(1, 670) 0.2766014729498025
(1, 1250) 0.3920175536236695
(2, 861) 0.30814515003485
but radius.toarray() and radius.todense() returns:
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
radius.shape is (498, 1776)
sentiment-analysis tfidf
sentiment-analysis tfidf
asked 6 mins ago
IvyIvy
1
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
IvyIvy
1
New contributor
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Check out our Code of Conduct.
asked 6 mins ago
IvyIvy
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asked 6 mins ago
IvyIvy
1
asked 6 mins ago
IvyIvy
1
1
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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