Analyzing social media data with Python
summary
Covers collecting social media data using requests, exploring it with IPython and pandas, analyzing content with NLTK and scikit-learn, and visualizing results with matplotlib. Uses these tools to investigate patterns of timing and characteristics that make tweets or blog posts more shareable across social media.
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