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They were interested in the Attitude of users of mobile apps for Covid-19 tracking.
They obtained ~27 million tweets related to Covid-19 apps, but did not have enough resources to perform the analysis, extract the information and prepare visualizations of the results.
Using methods of sentiment analysis, topic modelling, keyword extraction, prepare interactive plots showing the time variation of the sentiment for each topic, most popular keywords and hashtags. Implement a simple keyword search engine and have everything run in a web browser.