To what degree can we use NLP to mine current and trending topics with respect to well-being?

Bachelor thesis (2022)

Authors

N. Manglani Electrical Engineering, Mathematics and Computer Science

Contributors

W.L.A. van der Maden Design Aesthetics - IDE (mentor)
Ujwal Gadiraju Web Information Systems - EEMCS (mentor)
J.D. Lomas Design Aesthetics - IDE (mentor)
G.M. Allen Web Information Systems - EEMCS (mentor)
Z. Erkin Cyber Security - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Neel Manglani
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Published Date

22-06-2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

The increase in global internet users brings forth a vast amount of social media users and therefore opinions that are shared online. A subset of those users, adolescents, seem to develop some sort of addiction towards social media, which could lead to low life satisfaction. This paper tries to extract trending topics and their relation to well-being in order to help organizations like MyWellnessCheck check in on adolescents and students. The results indicated that this was possible, despite the vast amount of spam that is present online. Unsurprisingly, current events made the list of trending topics with negative sentiment like ”school shootings”, as well as unexpected topics with positive sentiment that could potentially im- prove well-being, like ”safe snacks”.

Files

Neel_paper_2.pdf
(.pdf | 0.389 Mb)