nithyadurai87 · March 6, 2025 22:15
diff --git a/03_dense_vector.py b/03_dense_vector.py
 from sklearn.preprocessing import LabelEncoder
 import numpy as np

 paragraph = "Periyar was a social reformer in Tamil Nadu. He founded the Self-Respect Movement. This movement aimed to promote equality and end caste discrimination. Today, he is celebrated as a key figure in the fight for social justice and equality in Tamil Nadu."
 x = [i for i in paragraph.split('.')]

 l1 = []
 for i in x:
  l1.append(LabelEncoder().fit_transform(i.split()))
 padded_arrays = [np.pad(i, (0, max(len(i) for i in l1) - len(i)), 'constant', constant_values=99) for i in l1]

 print(np.array(padded_arrays))
	from sklearn.preprocessing import LabelEncoder
	import numpy as np

	paragraph = "Periyar was a social reformer in Tamil Nadu. He founded the Self-Respect Movement. This movement aimed to promote equality and end caste discrimination. Today, he is celebrated as a key figure in the fight for social justice and equality in Tamil Nadu."
	x = [i for i in paragraph.split('.')]

	l1 = []
	for i in x:
	l1.append(LabelEncoder().fit_transform(i.split()))
	padded_arrays = [np.pad(i, (0, max(len(i) for i in l1) - len(i)), 'constant', constant_values=99) for i in l1]

	print(np.array(padded_arrays))