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Final Project from the course "Introduction to Machine Learning" @ Data Science & Scientific Computing, University of Trieste, year 2020/2021, written in RMarkdown.

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Tweet Popularity Predictor

Final Project from the course "Introduction to Machine Learning" @ Data Science & Scientific Computing, University of Trieste, year 2020/2021, written in RMarkdown.

General Info

This project, by @gjuls and I, is a popularity predictor for American fast food chains' tweets.

We analyzed the activity of 13 fast food chains on Twitter and searched for the best predictor for their popularity.

We analyzed NLP-related features, such as length of words or number of emojis, time-related features, such as time and weekday of posting, and much more.

The report explains the details and the findings.

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Final Project from the course "Introduction to Machine Learning" @ Data Science & Scientific Computing, University of Trieste, year 2020/2021, written in RMarkdown.

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