Implementing sentiment analysis to assess the perception of polarizing product: the Tesla Cybertruck case

Ferro, Federico (A.A. 2019/2020) Implementing sentiment analysis to assess the perception of polarizing product: the Tesla Cybertruck case. Tesi di Laurea in Marketing metrics, Luiss Guido Carli, relatore Michele Costabile, pp. 144. [Master's Degree Thesis]

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Abstract/Index

Elements of text mining. Unstructured data and text mining. Object of study: product characteristics. The company: Tesla, Inc. The product: Tesla Cybertruck. Application of sentiment analysis on product. Research limits and future perspectives.

References

Bibliografia: pp. 106-123.

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: Marketing metrics
Thesis Supervisor: Costabile, Michele
Thesis Co-Supervisor: Tedeschi, Piermario
Academic Year: 2019/2020
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 15 Jan 2021 09:18
Last Modified: 15 Jan 2021 09:18
URI: https://tesi.luiss.it/id/eprint/27995

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