Unleash these memes! How brands can extract topics from usergenerated images

Pagliari, Nicolò (A.A. 2020/2021) Unleash these memes! How brands can extract topics from usergenerated images. Tesi di Laurea in Business and marketing analytics, Luiss Guido Carli, relatore Francisco Javier Villarroel Ordenes, pp. 38. [Bachelor's Degree Thesis]

[img]
Preview
PDF (Full text)
Download (2MB) | Preview

Abstract/Index

Managerial relevance and problems. Previous research and research gaps. Literature review. Research question. Method. Reddit data collection with pushShift. Downloading the memes. Measurement development. Performing optical character recognition (OCR) on memes. Retrieving comments. Modelling with Knime: topic extraction on memes. Modelling with Knime: sentiment analysis on comments. Results. Discussion. Contributions. Managerial implications. Further research directions.

References

Bibliografia: pp. 32-36.

Thesis Type: Bachelor's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair: Business and marketing analytics
Thesis Supervisor: Villarroel Ordenes, Francisco Javier
Academic Year: 2020/2021
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 14 Oct 2021 10:15
Last Modified: 14 Oct 2021 10:15
URI: https://tesi.luiss.it/id/eprint/30420

Downloads

Downloads per month over past year

Repository Staff Only

View Item View Item