# Document Scoring
**URL:** https://discuss.elastic.co/t/document-scoring/285850
**Category:** Elasticsearch
**Tags:** painless, ingest-pipeline
**Created:** [October 4, 2021, 8:41pm UTC](https://discuss.elastic.co/t/document-scoring/285850 "2021-10-04T20:41:19Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@leemase004](https://discuss.elastic.co/u/leemase004)
#### Post date: [October 4, 2021, 8:41pm UTC](https://discuss.elastic.co/t/document-scoring/285850/1 "2021-10-04T20:41:19Z")
I know you can boost a fields score when running query (with the ^ symbol), but I am wondering if you can boost a fields score on/during ingestion when the data is initially coming into Elastic (via ingest pipelines or painless scripts).
So as the documents come in, Elastic will view a specific field. If that field has a particular value then this document will receive a "score"
Example: Lets say we are a news paper company. We have a "Title" field for all of our headlines. Due to variety of headlines, we have the headlines field mapped as a text field.
Title examples could be:
"Cowboys comeback"
"Yankees make the playoffs"
"Lakers lose"
"Patriots win Super Bowl"
We would want the script and/or ingest pipeline to read the Title field.
If the Title mentions an NFL team (Cowboys and Patriots) It would received a "score" of 5.
If the Title had a NBA team (lakers) a "score" of 3
If the Title has a MLB team (yankees) a "score" of 1.
We would then map this new "score" field as a keyword and then the users could set up dashboards with the corresponding score.
How would we set up a pipeline and/or painless script to have elastic view a text field to find a certain amount of key words (from a dictionary file of sorts) and then either create a new field if there is a hit or assign a numeric score if there is a hit?
Thanks
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### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [November 1, 2021, 8:41pm UTC](https://discuss.elastic.co/t/document-scoring/285850/2 "2021-11-01T20:41:36Z")
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