baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Features/Features (machine learning)/Text Processing
Raw Features: occurence of specific character sequences, word or token counts, sequence length
Engineered Features: Word "embeddings" (e.g., Word2Vec, BERT embeddings),
Context: In sentiment analysis, embeddings provide dense, meaningful representations of text features.
