How kamauwashington/python-cosine-similarity works
This small reference library compares two phrases by tokenizing them, building word-frequency vectors, and calculating cosine similarity. The tokenization helper and the remaining inline stages are all implemented in one module; no separate application or storage layer exists.
Main entry points: cosine_similarity.py Cosine similarity
Components 5
Other components
- Caller
- Cosine similarity
cosine_similarity.py - Word tokenizer
cosine_similarity.py - Frequency vectors
cosine_similarity.py - Cosine calculation
cosine_similarity.py
Connections 6
- Caller → Cosine similarity: provides phrases
- Cosine similarity → Word tokenizer: tokenizes both
- Cosine similarity → Frequency vectors: builds counts
- Frequency vectors → Cosine calculation: supplies counts
- Cosine similarity → Cosine calculation: computes similarity
- Cosine similarity → Caller: returns score