Diffusion and perception of non-alcoholic beer: a data-driven analysis
Costa, Tommaso (A.A. 2024/2025) Diffusion and perception of non-alcoholic beer: a data-driven analysis. Tesi di Laurea in Statistics for marketing, Luiss Guido Carli, relatore Francesco Salate Santone, pp. 89. [Master's Degree Thesis]
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Abstract/Index
Literature review. The situation in the FMCG and food market. The NAB market. Cluster analysis. Sentiment analysis. Methodology. Research framework and research questions. Research design and methodological approach. Software and analytical tools. Datasets and data preprocessing. Territorial clustering methodology. Online consumer sentiment and thematic analysis. Results. Results of the territorial clustering analysis. Results of the sentiment analysis. Thematic clustering. Integrated interpretation and strategic implications.
References
Bibliografia: pp. 87-89.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Marketing (LM-77) |
| Chair: | Statistics for marketing |
| Thesis Supervisor: | Salate Santone, Francesco |
| Thesis Co-Supervisor: | Costabile, Michele |
| Academic Year: | 2024/2025 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 02 Jul 2026 10:18 |
| Last Modified: | 02 Jul 2026 10:18 |
| URI: | https://tesi.luiss.it/id/eprint/46308 |
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