Definition
Semantic analysis in AI focuses on understanding the underlying meaning of inputs rather than just their surface-level patterns. This involves mapping words or symbols to concepts, capturing relationships between entities, and interpreting context to derive intent. Semantic embeddings represent this meaning in vector space, enabling tasks like similarity search and question answering based on conceptual relevance.
Summary
Relating to meaning in language or data, distinguishing it from syntactic structure or form.
Key Concepts
- Meaning Representation
- Vector Embeddings
- Contextual Understanding
- Intent Recognition
Use Cases
- Semantic search engines
- Sentiment analysis
- Knowledge graph construction