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Methodological review demonstrates strategies for mining datasets from Twitter using Python, highlighting opportunities for large-scale social media analysis.
Twitter is a popular social network where users can share short SMS-like messages called tweets. Users share thoughts, links and pictures on Twitter, journalists comment on live events, companies promote products and engage with customers. The list of different ways to use Twitter could be really long, and with 500 millions of tweets per day, there’s a lot of data to analyse and to play with. This is the articles dedicated to mining data on Twitter using Python. We’ll see different options to collect data from Twitter. Once we have built a data set, in the next episodes we’ll discuss some interesting data applications.
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Saif Mansuri (2026) studied this question.
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