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5 Lessons

Text Representation and Vectorization

Focus on this chapter's key concepts. Dive into each topic for a detailed understanding with examples and structured notes.

Bag of Words (BoW) and Document-Term Matrix (DTM)

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1 of 5 Lessons

Term Frequency-Inverse Document Frequency (TF-IDF)

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2 of 5 Lessons

Word Embeddings concept (Word2Vec, GloVe)

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3 of 5 Lessons

Properties of dense vectors vs sparse vectors

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4 of 5 Lessons

Cosine similarity for document matching

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5 of 5 Lessons

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