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* 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
13 lines
592 B
Markdown
13 lines
592 B
Markdown
# Loading `Unstructured` elements into `Elasticsearch`
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The following example shows how to load `Unstructured` output `Element` objects into an `Elasticsearch`
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index with sentiment analyis scores provided by the `TextBlob` library.
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Elasticsearch stores data as JSON documents in an index, which is a collection of documents that are related to each other.
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## Running the example
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1. Run `pip install -r requirements.txt` to install the Python dependencies.
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1. Modify `es-credentials.ini` with your information: `cloud_id`, `user` and `password`.
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1. Run the `load-into-es.ipynb` notebook. |