Customizing Text Analyzers

Elasticsearch comes with powerful default text analyzers, but sometimes your data needs a special touch. This is where custom analyzers shine!

They allow you to precisely control how your text fields are processed for search, ensuring optimal relevancy and accuracy for your specific use case.

Recall that every analyzer, custom or built-in, follows a three-step process to transform raw text into searchable tokens:

• Character Filters: Clean up the raw input string (e.g., remove HTML tags).
• Tokenizer: Breaks the processed string into individual words or tokens.
• Token Filters: Modifies, adds, or removes tokens (e.g., lowercase, remove stop words, apply stemming).

A custom analyzer lets you pick and choose these ingredients!