Data Mining Twitter
I'm learning to use and interact with the Twitter API, with the book Intro to Python for CS and Data Science (Paul Deitel, Harvey Deitel).
■ Understand Twitter’s impact on businesses, brands, reputation, sentiment analysis, predictions and more.
■ Use Tweepy, one of the most popular Python Twitter API clients for data mining Twitter.
■ Use the Twitter Search API to download past tweets that meet your criteria.
■ Use the Twitter Streaming API to sample the stream of live tweets as they’re happening.
■ See that the tweet objects returned by Twitter contain valuable information beyond the tweet text.
■ Use the natural language processing techniques to clean and preprocess tweets to prepare them for analysis.
■ Perform sentiment analysis on tweets.
■ Spot trends with Twitter’s Trends API.
■ Map tweets using folium and OpenStreetMap.