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[https://cbail.github.io/textasdata/Text_as_Data.html?fbclid=IwAR1Nl93wTvZlhmVdifK_-I91viDfkH1R69rGwSzE2wM__OOVT_w3mJatgvI] - - public:weinreich
how_to, qualitative, quantitative, research, social_media, twitter - 6 | id:309754 -

This class covers a range of different topics that build on top of each other. For example, in the first tutorial, you will learn how to collect data from Twitter, and in subsequent tutorials you will learn how to analyze those data using automated text analysis techniques. For this reason, you may find it difficult to jump towards one of the most advanced issues before covering the basics. Introduction: Strengths and Weaknesses of Text as Data Application Programming Interfaces Screen-Scraping Basic Text Analysis Dictionary-Based Text Analysis Topic Modeling Text Networks Word Embeddings

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