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hashtag-monitor

Does what it says. Monitor specifics hashtags or brand names. Just an exercise atm.

It will heavily rely on docker images for most of the work cause I'm a lazy ass.

DONE

  • Define Brand (). Store hashtags for a brand (or any other denominator)
  • Collect Response for the hashtag on a serie of different platforms:
    • twitter
    • instagram
  • Automatise it (airflow / papermill)
  • store it in an SQL database. ( Maybe elastic could prove efficient. Dunno, depending on volume.)

TODO

- Transform
    - langage detection
    - sentiment analysis
    - normalize interactions
    - anlyze Images ? (later)
- Aggregate and score the whole thing
- Display it (jupyter then flask)
- Add Flask Cache for rquests. 

#LATER

  • Collect Response for the hashtag on a serie of different platforms:
    • Facebook
    • Google Alerts
  • Add Roles to the app

In Use

  • Postgresql
  • airflow
  • celery
  • redis
  • flask
  • jupyter

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does what it says. monitor specifics hashtags or brand names. Just an exercise atm.

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