Erro no CountVectorizer

[Natanael Junior]

Boa noite, ao tentar executar o comando abaixo no Jupyter Notebook, da o seguinte erro (Obs: já reinstalei meu Python. E a versão é a 3.8.8)

from sklearn.feature_extraction.text import CountVectorizer

 

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-2-6a1df9f4b4e2> in <module>
----> 1 from sklearn.feature_extraction.text import CountVectorizer

~\anaconda3\lib\site-packages\sklearn\__init__.py in <module>
     80     from . import _distributor_init  # noqa: F401
     81     from . import __check_build  # noqa: F401
---> 82     from .base import clone
     83     from .utils._show_versions import show_versions
     84 

~\anaconda3\lib\site-packages\sklearn\base.py in <module>
     15 from . import __version__
     16 from ._config import get_config
---> 17 from .utils import _IS_32BIT
     18 from .utils._tags import (
     19     _DEFAULT_TAGS,

~\anaconda3\lib\site-packages\sklearn\utils\__init__.py in <module>
     21 
     22 from .murmurhash import murmurhash3_32
---> 23 from .class_weight import compute_class_weight, compute_sample_weight
     24 from . import _joblib
     25 from ..exceptions import DataConversionWarning

~\anaconda3\lib\site-packages\sklearn\utils\class_weight.py in <module>
      5 import numpy as np
      6 
----> 7 from .validation import _deprecate_positional_args
      8 
      9 

~\anaconda3\lib\site-packages\sklearn\utils\validation.py in <module>
     24 from contextlib import suppress
     25 
---> 26 from .fixes import _object_dtype_isnan, parse_version
     27 from .. import get_config as _get_config
     28 from ..exceptions import PositiveSpectrumWarning

~\anaconda3\lib\site-packages\sklearn\utils\fixes.py in <module>
     18 import scipy.sparse as sp
     19 import scipy
---> 20 import scipy.stats
     21 from scipy.sparse.linalg import lsqr as sparse_lsqr  # noqa
     22 from numpy.ma import MaskedArray as _MaskedArray  # TODO: remove in 1.0

~\anaconda3\lib\site-packages\scipy\stats\__init__.py in <module>
    389 
    390 """
--> 391 from .stats import *
    392 from .distributions import *
    393 from .morestats import *

~\anaconda3\lib\site-packages\scipy\stats\stats.py in <module>
    178 import scipy.special as special
    179 from scipy import linalg
--> 180 from . import distributions
    181 from . import mstats_basic
    182 from ._stats_mstats_common import (_find_repeats, linregress, theilslopes,

~\anaconda3\lib\site-packages\scipy\stats\distributions.py in <module>
      6 #       instead of `git blame -Lxxx,+x`.
      7 #
----> 8 from ._distn_infrastructure import (entropy, rv_discrete, rv_continuous,
      9                                     rv_frozen)
     10 

~\anaconda3\lib\site-packages\scipy\stats\_distn_infrastructure.py in <module>
     21 
     22 # for root finding for continuous distribution ppf, and max likelihood estimation
---> 23 from scipy import optimize
     24 
     25 # for functions of continuous distributions (e.g. moments, entropy, cdf)

~\anaconda3\lib\site-packages\scipy\optimize\__init__.py in <module>
    398 """
    399 
--> 400 from .optimize import *
    401 from ._minimize import *
    402 from ._root import *

~\anaconda3\lib\site-packages\scipy\optimize\optimize.py in <module>
     34                          line_search_wolfe2 as line_search,
     35                          LineSearchWarning)
---> 36 from ._numdiff import approx_derivative
     37 from scipy._lib._util import getfullargspec_no_self as _getfullargspec
     38 from scipy._lib._util import MapWrapper

~\anaconda3\lib\site-packages\scipy\optimize\_numdiff.py in <module>
      4 from numpy.linalg import norm
      5 
----> 6 from scipy.sparse.linalg import LinearOperator
      7 from ..sparse import issparse, csc_matrix, csr_matrix, coo_matrix, find
      8 from ._group_columns import group_dense, group_sparse

~\anaconda3\lib\site-packages\scipy\sparse\linalg\__init__.py in <module>
    112 from .dsolve import *
    113 from .interface import *
--> 114 from .eigen import *
    115 from .matfuncs import *
    116 from ._onenormest import *

~\anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\__init__.py in <module>
      7 
      8 """
----> 9 from .arpack import *
     10 from .lobpcg import *
     11 

~\anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\arpack\__init__.py in <module>
     18 
     19 """
---> 20 from .arpack import *

~\anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\arpack\arpack.py in <module>
     40 __all__ = ['eigs', 'eigsh', 'svds', 'ArpackError', 'ArpackNoConvergence']
     41 
---> 42 from . import _arpack
     43 arpack_int = _arpack.timing.nbx.dtype
     44 

ImportError: DLL load failed while importing _arpack: Não foi possível encontrar o procedimento especificado.

[lucasbazan]

Boa noite, amigo.

Tenta atualizar todo o seu Anaconda Navigator, se não der certo tenta desinstalar a lib scikit-learn e instala novamente e também tenta atualizar seu python pelo chocolatey.

Caso erro permaneça abra esse issue lá no github do pessoal do sklearn.

Abraços!