Analyzers, Tokenizers, Filters
Deep dive into the components of text analysis: character filters, tokenizers, and token filters, understanding their roles.
Unlocking Search with Text Analysis
When you search, you expect relevant results, even with typos or different word forms. This magic happens through text analysis!
Text analysis is how Elasticsearch processes raw text into a format suitable for searching. It breaks down and transforms your content to make it highly searchable and improve relevancy.
The Analyzer: Your Text Processor
At the heart of text analysis is the analyzer. Think of an analyzer as a complete pipeline, a series of steps that takes raw text and prepares it for indexing and searching.
Every analyzer consists of up to three main components:
- Character Filters: Clean up the raw text.
- Tokenizer: Breaks text into individual 'tokens' (words).
- Token Filters: Refine and modify these tokens.
All lessons in this course
- Analyzers, Tokenizers, Filters
- Customizing Text Analyzers
- Boosting and Relevancy Scoring
- Synonyms and Stemming