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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