The power of Google: how to predict European elections using Google data
Gamba, Emma (A.A. 2018/2019) The power of Google: how to predict European elections using Google data. Tesi di Laurea in Machine learning & object driven marketing, Luiss Guido Carli, relatore Luigi Laura, pp. 93. [Master's Degree Thesis]
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Abstract/Index
Big data: pros and cons. Big data, big opportunity? How i came up with idea for this thesis: everybody lies' book written by Seth Stephen-Davidowitz. The porpuse of "everybody lies" and what it teaches us. Attempt to predict the European elections results. Is the rate of interest a parameter to predict European election results?
References
Bibliografia: p. 75. Sitografia: pp. 76-78.
| 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: | Machine learning & object driven marketing |
| Thesis Supervisor: | Laura, Luigi |
| Thesis Co-Supervisor: | Spagnoletti, Paolo |
| Academic Year: | 2018/2019 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 13 Mar 2020 11:08 |
| Last Modified: | 13 Mar 2020 11:08 |
| URI: | https://tesi.luiss.it/id/eprint/25922 |
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