1 Hiwebxseriescom Hot | Part

from sklearn.feature_extraction.text import TfidfVectorizer

One common approach to create a deep feature for text data is to use embeddings. Embeddings are dense vector representations of words or phrases that capture their semantic meaning. part 1 hiwebxseriescom hot

Assuming you want to create a deep feature for the text "hiwebxseriescom hot", I can suggest a few approaches: from sklearn

text = "hiwebxseriescom hot"