Vitiello, Ortensia Valentina (A.A. 2020/2021) Machine learning to enhance neuromarketing: the correlation between food, mood and purchasing behavior. Tesi di Laurea in Customer intelligence & big data, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 103. [Master's Degree Thesis]

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Abstract/Index

Research approach. Marketing research: qualitative vs quantitative approaches. How much the opinions count in web marketing. Natural language processing (NLP). Psychiatric diseases & self-expression. Food & Mood–the relationship. The impact of the pandemic on food intake. Trustpilot. Testing method. Machine learning. Supervised vs unsupervised learning methods. Sentiment analysis. Classification techniques. R-studio. Data analysis–R-code. Model formulation. Data gathering. Preprocessing. Delivery food. Healthy food. Junk food. Applying neurosciences to marketing practices. Neuromarketing. Covid-19 implications. Marketing strategies. The psychology of pain. Burger King uses depression as a marketing tool. Our strategy. Forecasted efficiency of marketing campaigns according to the cultural variable.

References

Bibliografia: pp. 85-89.

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:	Customer intelligence & big data
Thesis Supervisor:	Italiano, Giuseppe Francesco
Thesis Co-Supervisor:	Laura, Luigi
Academic Year:	2020/2021
Session:	Summer
Deposited by:	Alessandro Perfetti
Date Deposited:	06 Dec 2021 11:29
Last Modified:	06 Dec 2021 11:29
URI:	https://tesi.luiss.it/id/eprint/30872

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