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

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

Manglani, Neel (TU Delft Electrical Engineering, Mathematics and Computer Science)

van der Maden, W.L.A. (mentor)
Gadiraju, Ujwal (mentor)
Lomas, J.D. (mentor)
Allen, G.M. (mentor)
Erkin, Z. (graduation committee)

Delft University of Technology

Computer Science and Engineering

CSE3000 Research Project

2022-06-22

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”.

nlp
social media
well being

http://resolver.tudelft.nl/uuid:326af6a6-0cbe-4f6d-b696-d52e40946c1c

Student theses

bachelor thesis

© 2022 Neel Manglani