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Building Twitterbot
Charlotte Bots and AI Meetup
June 2017
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
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
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
Getting Started
‱ Twitter setup
– Register handle
– Setup new app
– Generate oauth and access keys
‱ Development
– SDK available for most platforms
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
Demo - 1
‱ Print Timelines
‱ Get followers
‱ Follow users
‱ Post message
‱ Retweet
Demo - 2
‱ Trump2cash
‱ TwitterFollowBot

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Building Twitter bot using Python

  • 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