Advanced Options
Background Filter
You can specify a background filter to limit the background set used for comparison. This allows you to focus on a specific subset of data when analyzing significance.
{
"significant_terms": {
"field": "product",
"background_filter": {
"term": { "category": "electronics" }
}
}
}
Mutual Information
You can use the “mutual information” option to calculate the significance score based on mutual information instead of chi-square. This can be useful for certain types of data and analysis scenarios.
{
"significant_terms": {
"field": "product",
"mutual_information": {}
}
}
Significant Aggregation in Elasticsearch
Elasticsearch provides a wide range of aggregation capabilities to analyze data in various ways. One powerful aggregation is the Significant Aggregation, which helps identify significant terms or buckets within a dataset. In this guide, we’ll delve into the Significant Aggregation in Elasticsearch, exploring its functionality, use cases, and how to implement it with examples and outputs.