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from sklearn.metrics.pairwise import linear_kernel
sim_matrix = linear_kernel(tfidf_matrix, tfidf_matrix)

when I try to get dot product I am getting this errro

MemoryError                               Traceback (most recent call last)
<ipython-input-19-2c4d43d4a89e> in <module>
      1 from sklearn.metrics.pairwise import linear_kernel
----> 2 sim_matrix = linear_kernel(tfidf_matrix, tfidf_matrix)

~\anaconda3\lib\site-packages\sklearn\metrics\pairwise.py in linear_kernel(X, Y, dense_output)
   1002     """
   1003     X, Y = check_pairwise_arrays(X, Y)
-> 1004     return safe_sparse_dot(X, Y.T, dense_output=dense_output)
   1005 
   1006 

~\anaconda3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs)
     70                           FutureWarning)
     71         kwargs.update({k: arg for k, arg in zip(sig.parameters, args)})
---> 72         return f(**kwargs)
     73     return inner_f
     74 

~\anaconda3\lib\site-packages\sklearn\utils\extmath.py in safe_sparse_dot(a, b, dense_output)
    151             ret = np.dot(a, b)
    152     else:
--> 153         ret = a @ b
    154 
    155     if (sparse.issparse(a) and sparse.issparse(b)

~\anaconda3\lib\site-packages\scipy\sparse\base.py in __matmul__(self, other)
    558             raise ValueError("Scalar operands are not allowed, "
    559                              "use '*' instead")
--> 560         return self.__mul__(other)
    561 
    562     def __rmatmul__(self, other):

~\anaconda3\lib\site-packages\scipy\sparse\base.py in __mul__(self, other)
    478             if self.shape[1] != other.shape[0]:
    479                 raise ValueError('dimension mismatch')
--> 480             return self._mul_sparse_matrix(other)
    481 
    482         # If it's a list or whatever, treat it like a matrix

~\anaconda3\lib\site-packages\scipy\sparse\compressed.py in _mul_sparse_matrix(self, other)
    514 
    515         indptr = np.empty(major_axis + 1, dtype=idx_dtype)
--> 516         indices = np.empty(nnz, dtype=idx_dtype)
    517         data = np.empty(nnz, dtype=upcast(self.dtype, other.dtype))
    518 

MemoryError: Unable to allocate 2.04 GiB for an array with shape (546860044,) and data type int32
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