Text Features

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Converting text data into numeric representations for ML models.

Techniques

• TF-IDF — term frequency-inverse document frequency, sparse representation
• Bag of Words — word count vectors, ignores order
• N-grams — sequences of n consecutive words
• Word Embeddings — dense vector representations (Word2Vec, GloVe, FastText)

Related

• Categorical Features (text as categories)
• Natural Language Processing (advanced text processing)

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ml feature-engineering text nlp