Stochastic Gradient Descent
Natural Language Processing
A text normalization technique that reduces words to their root or base form by removing suffixes.
Detailed Explanation
Stemming is a process used in Natural Language Processing to reduce words to their root or base form by removing suffixes and prefixes. This normalization helps in handling different word variations, improving search accuracy and text analysis. For example, "running," "runner," and "ran" may all be stemmed to "run," facilitating better matching and understanding in linguistic tasks.
Use Cases
- •Enhances search engine relevance by normalizing word variants, enabling accurate retrieval regardless of different word forms in user queries.
Related Terms
Other terms in the Natural Language Processing category