Understanding Term Aggregation
The Term Aggregation in Elasticsearch is used to group documents based on the values of a specific field. It’s beneficial for analyzing text data because it allows you to see the distribution of terms within a field, such as the frequency of words in a document or the occurrence of terms across multiple documents.
Syntax:
{
"aggs": {
"agg_name": {
"terms": {
"field": "field_name",
"size": 10
}
}
}
}
- agg_name: The name of the aggregation.
- field_name: The field to analyze.
- size: The number of terms to return (optional).
Analyzing Text Data with Term and Significant Terms Aggregations
Elasticsearch provides powerful tools for analyzing text data, allowing users to gain valuable insights from unstructured text documents. Two essential aggregations for text analysis are the Term and Significant Terms aggregations. In this article, we’ll explore what these aggregations are, how they work, their use cases, and how to implement them with examples and outputs.