13 Data Mining Twitter
Objectives
In this chapter you’ll:
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 you learned in the last chapter 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 ...
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