Chapter 13 Quiz12 min check

Local TF-IDF + SVD Embeddings

Check whether you can explain local lexical embeddings honestly.

Quiz A: Concepts

1 TF-IDF rewards terms that are important locally and rare ____.

2. What does SVD do in this context?

3 TF-IDF is especially strong for exact terms like IDs, codes, and ____.

4. Which item must stay consistent between indexing and querying?

5 TF-IDF is weaker for deep ____ matching than neural embeddings.

6. Why might a public learning project use local TF-IDF?

7 Adding many documents can change IDF behavior and require an index ____.

8. What can happen if SVD dimensions are too low?

9 TF-IDF + SVD is useful as a baseline, fallback, or hybrid ____.

10. What should traces include for local lexical retrieval?

Perfect score. You understand local embeddings honestly.