Charlotte Bots and AI meetup - June 2017. Presentation and code slides walkthrough. Link: https://github.com/aarpy/twitdemo

1. Building Twitterbot
Charlotte Bots and AI Meetup
June 2017

2. Bot and AI news
• Chat/Bots
– Bot platforms are gaining traction
– Burned by Bots - supports basic use cases with
engagement/setup frustration
– Apple and MS have released home pods – Competitors to Alexa
– Follow ChatbotMagazine.com of latest updates
• Data Science
– Many companies (lead by startups) are coming up with AI based
solutions
– Problem focus is Analytics, NLP, Voice and Vision
– Automation is going to have big next gen social impact
– 100’s of resources for learning data science

3. Twitterbot Use cases
• Listen to tweets and respond, retweet, follow
up or direct messages
• Listen to industry focus sentiments to
monetize (trading)
• Monitor tweets for brand value analysis
– Send achievement notifications
– Critical Alerts

4. Accessing Twitter Data
• Objects
– Tweets, Users, Entities and Places
• REST API
– Search API, Direct Messages, Collections
• Streaming API
• Rate limiting (15 minute window)
• API Console

5. Getting Started
• Twitter setup
– Register handle
– Setup new app
– Generate oauth and access keys
• Development
– SDK available for most platforms

6. Steps for Python
• Virtualenv setup
• Pip Install tweepy or python-twitter
• Read Tweet and parse using NLTK or Spacy or
Google Cloud Natural Language API
• Build sentiment analysis (positive, neutral or
negative)
• Take an action

7. Demo - 1
• Print Timelines
• Get followers
• Follow users
• Post message
• Retweet

8. Demo - 2
• Trump2cash
• TwitterFollowBot