Understanding Significant Terms Aggregation
The Significant Terms Aggregation in Elasticsearch is used to identify terms that are significantly more or less frequent within a subset of data compared to a background set. It helps uncover terms that are statistically significant and may indicate interesting patterns or trends within the data.
Syntax:
{
"aggs": {
"agg_name": {
"significant_terms": {
"field": "field_name",
"size": 10
}
}
}
}
- agg_name: The name of the aggregation.
- field_name: The field to analyze.
- size: The number of significant 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.