Prediction of song popularity with a textual and audio based approach

Barboni, Alessio (A.A. 2020/2021) Prediction of song popularity with a textual and audio based approach. Tesi di Laurea in Business and marketing analytics, Luiss Guido Carli, relatore Francisco Javier Villarroel Ordenes, pp. 30. [Bachelor's Degree Thesis]

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Abstract/Index

Literature review. Text based approaches for song popularity prediction. Overview of audio mining applications. Audio based approaches for song popularity prediction. Research questions. Method. Data description. Measurement development. Modelling. Results. Discussion.

References

Bibliografia: pp. 23-25.

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: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 08 Apr 2022 12:47
Last Modified: 08 Apr 2022 12:47
URI: https://tesi.luiss.it/id/eprint/31943

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