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app-search-nsf's Introduction

App Search with NSF Data

Built off of arXiv dataset and modified with NSF proposal attributes to show Elastic App Search features.

Create Elastic Deployment

  • Create an Elastic deployment, the easiest way is Elastic Cloud.
  • If not using Elastic Cloud, follow instructions to enable App Search
  • Note the App Search URL: ____________
  • Note the App Search API Key: __________
  • Create an App Search Engine

Populate Data from Arxiv

Update get_arxiv_data.py to specify desired search terms.

search = arxiv.Search(
  query = "ti:climate",
  max_results = 500,
  sort_by = arxiv.SortCriterion.SubmittedDate
)

Update App Search URL and set environment variable for App Search API key.

app_search = AppSearch("https://izmaxx-ml.ent.us-central1.gcp.cloud.es.io:9243",bearer_auth=os.environ.get('APP_SEARCH_API_KEY'))

Create Data View

Create Visualizations

To start App Search UI, run the following:

  • npm install
  • npm start

Logstash

See logstash configuration file for example of pulling Twitter data through http poller and sending it an ESS instance.

This was used to demonstrate pulling tweets related to a keyword and running NLP task of Named Entity Recognition.

Arxiv API

See "get_arxiv_data.py" for example query syntax for retrieving data from arXiv

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