Create word_embedding.py

natural_language_processing/word_embedding.py

@@ -0,0 +1,8 @@
+import tensorflow as tf
+from tensorflow.keras.layers import Embedding
+
+def generate_word_embeddings(vocab_size, embedding_dim):
+    # Generate word embeddings using a pre-trained embedding layer
+    embeddings = Embedding(vocab_size, embedding_dim, input_length=1)
+
+    return embeddings