To get a fixed-size vector representation for the entire text, we can use a pooling technique such as mean pooling or max pooling.

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To generate a deep feature for the text, we can use a text embedding technique such as Word2Vec or BERT. Let's assume we're using a pre-trained BERT model to generate embeddings.