Configure text analysis
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is generally available and ready for production usage. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability This functionality is generally available and ready for production usage. Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments. This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.
Serverless
Generally available
Stack
Generally available
By default, Elasticsearch uses the standard analyzer for all text analysis. The standard analyzer gives you out-of-the-box support for most natural languages and use cases. If you chose to use the standard analyzer as-is, no further configuration is needed.
If the standard analyzer does not fit your needs, review and test Elasticsearch's other built-in built-in analyzers. Built-in analyzers don’t require configuration, but some support options that can be used to adjust their behavior. For example, you can configure the standard analyzer with a list of custom stop words to remove.
If no built-in analyzer fits your needs, you can test and create a custom analyzer. Custom analyzers involve selecting and combining different analyzer components, giving you greater control over the process.