Algoritmi di supervised e unsupervised machine learning per l’analisi del sentiment
Coletti, Giacomo (A.A. 2017/2018) Algoritmi di supervised e unsupervised machine learning per l’analisi del sentiment. Tesi di Laurea in Machine learning & object driven marketing, LUISS Guido Carli, relatore Luigi Laura, pp. 121. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Analisi automatizzata dei dati: la sentiment analysis. Gli smartphones: una nuova generazione. Il panorama competitivo: la segmentazione del mercato. Machine learning. Analisi e valutazione dei modelli. Modelli a confronto: quale il miglior approccio?
References
Bibliografia: pp. 89-93.
| 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: | Italiano, Giuseppe Francesco |
| Academic Year: | 2017/2018 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 14 May 2019 07:11 |
| Last Modified: | 14 May 2019 07:11 |
| URI: | https://tesi.luiss.it/id/eprint/23363 |
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