mlinksva / fccforensics

Determine public opinion on net neutrality issue via sourcing and sentiment analysis of FCC comments.

FCC Forensics

Determine public opinion on net neutrality issue via sourcing and sentiment analysis of FCC comments.

Based on https://github.com/csinchok/fcc-comment-analysis, plus more from Ragtag volunteers

Uses Elasticsearch to get data from [https://www.fcc.gov/ecfs/public-api-docs.html](FCC's public API)

Setup

Make sure you have python3

Set up a local Elasticsearch server: https://www.elastic.co/downloads/elasticsearch

Set up fcc-comment-analysis:

$ cd server
$ pip install -e .
$ python setup.py test

Create the index with mappings:

$ fcc create

Fetch and index some data from the FCC API:

$ fcc index --endpoint=http://localhost:9200/ -g 2017-06-01

Analyze data and add to analysis section of documents:

$ fcc analyze --endpoint=http://localhost:9200/

Set up a local Kibana server: https://www.elastic.co/downloads/kibana

Play in Kibana:

• go to http://localhost:5601
• go to Management / Configure an index pattern
  • Index name or pattern: fcc-comments
  • Index contains time-based events
  • Time-field name: date_dissemenated
  • Create

https://ragtag.org/connect