Chapter 9. Social Media Mining in Python
This chapter is all about social media. Though it's not directly related to NLTK / NLP, social data is also a very rich source of unstructured text data. So, as NLP enthusiasts, we should have the skill to play with social data. We will try to explore how to gather relevant data from some of the most popular social media platforms. We will cover how to gather data from Twitter, Facebook, and so on using Python APIs. We will explore some of the most common use cases in the context of social media mining, such as trending topics, sentiment analysis, and so on.
You already learned a lot of topics under the concepts of natural language processing and machine learning in the last few chapters. We will try to ...
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