What are Analyzers?
An analyzer in Elasticsearch is a component that converts text into tokens (terms) and can apply various filters to normalize the tokens. An analyzer typically consists of three parts:
- Character Filters: Preprocess the text by modifying or removing certain characters.
- Tokenizer: Splits the text into individual terms (tokens).
- Token Filters: Apply additional processing to the tokens, such as lowercasing or removing stop words.
Full Text Search with Analyzer and Tokenizer
Elasticsearch is renowned for its powerful full-text search capabilities. At the heart of this functionality are analyzers and tokenizers, which play a crucial role in how text is processed and indexed. This guide will help you understand how analyzers and tokenizers work in Elasticsearch, with detailed examples and outputs to make these concepts easy to grasp.
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