What is Stemming in an AI workplace?
Stemming is a text normalization technique used in natural language processing to reduce words to their root or base form. This process helps AI systems to treat variations of a word as the same term, improving text analysis and search capabilities.
Benefits of Stemming
- Improves search efficiency and recall
- Reduces vocabulary size for language models
- Enhances text classification and clustering
- Supports more effective information retrieval
- Aids in cross-lingual information processing
