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unstructured/examples/elastic-search
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Sebastian Laverde Alfonso 508ce48d54
Feat: notebook for Elasticsearch integration (#681) 
* feat: nb elasticsearch unstructured sentiment

* chore: refactor readme for elasticsearch nb

* fix: update es-credentials.ini

* chore: update es-credentials.ini

* fix: type in nb load-into-es.ipynb

exist --> exists

* fix: typo 2 in nb load-into-es.ipynb

obtaing --> obtain
2023-06-05 19:05:08 +00:00
..
es-credentials.ini
Feat: notebook for Elasticsearch integration (#681)
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load-into-es.ipynb
Feat: notebook for Elasticsearch integration (#681)
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README.md
Feat: notebook for Elasticsearch integration (#681)
2023-06-05 19:05:08 +00:00
requirements.txt
Feat: notebook for Elasticsearch integration (#681)
2023-06-05 19:05:08 +00:00

README.md

Loading Unstructured elements into Elasticsearch

The following example shows how to load Unstructured output Element objects into an Elasticsearch index with sentiment analyis scores provided by the TextBlob library.

Elasticsearch stores data as JSON documents in an index, which is a collection of documents that are related to each other.

Running the example

  1. Run pip install -r requirements.txt to install the Python dependencies.
  2. Modify es-credentials.ini with your information: cloud_id, user and password.
  3. Run the load-into-es.ipynb notebook.