March 2019
Intermediate to advanced
640 pages
23h 40m
English
Content preview from Python for Programmers
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12. 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 various Twitter v2 API methods.
Get information about a specific Twitter account.
Search for past tweets that meet your criteria.
Sample the stream of live tweets as they’re happening.
Request additional metadata in Twitter responses via the Twitter v2 API’s expansions and fields.
Clean and preprocess tweets to prepare them for analysis.
Use NLP techniques you learned in the preceding chapter to translate foreign language tweets into English and to perform sentiment analysis on tweets.
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