Skip to content

Latest commit

 

History

History
29 lines (22 loc) · 1.15 KB

README.md

File metadata and controls

29 lines (22 loc) · 1.15 KB
Raw

twitter-recommender-bot

The TwitterBot is able to recommend resources based on keywords extracted from twitter status updates using the Twitter Stream and REST API. This Twitter application is used as a distribution channel for recommendations provided by the EEXCESS recommender system. Amongst others, the bot is able to follow the current stream of tweets and can reply with a recommendation after identifying a relevant tweet.

Check out this [abstract] (https://github.com/EEXCESS/Twitter/blob/master/Abstract-TwitterBot.pdf?raw=true) for more information.

Setup

  • Python3 required

  • Setup database (e.g. MySql)
  • Add python dependencies:
    • PyMySql
    • peewee
    • rdflib
    • twitter
    • requests
  • Checkout source code
  • Create Twitter App with write permissions
  • Fill in your information in the Config.py file in the package de.uop.twitterbot
  • Run CreateTables.py to create all necessary tables in the database
  • Use KeywordUtil.py to modify the keyword set
  • Modify Recommender.py if you want to use another recommender
  • Run RunTwitterBot.py to start start the bot

Copyright

The sources are released under The MIT License (MIT).