Text analysis during search
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
Text analysis is the process of converting unstructured text, like the body of an email or a product description, into a structured format that’s optimized for search.
Elasticsearch performs text analysis when indexing or searching text fields.
If your index doesn’t contain text fields, no further setup is needed; you can skip the pages in this section.
However, if you use text fields or your text searches aren’t returning results as expected, configuring text analysis can often help. You should also look into analysis configuration if you’re using Elasticsearch to:
- Build a search engine
- Mine unstructured data
- Fine-tune search for a specific language
- Perform lexicographic or linguistic research
Learn more about text analysis in the Manage Data section of the documentation: