Sentiment analysis and machine learning for social media mining: the Garnier Bio case by L'Orèal
Pazzi, Maria Elena (A.A. 2018/2019) Sentiment analysis and machine learning for social media mining: the Garnier Bio case by L'Orèal. Tesi di Laurea in Customer intelligence & big data, Luiss Guido Carli, relatore Luigi Laura, pp. 108. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Content evolution & big data. Social big data and social media analytics. Text mining techniques for the authomatic information retrival and artificial intelligence. The basics of sentiment analysis. Sentiment analysis on the Garnier case. Implementation of the lexicon-based approach.
References
Bibliografia: pp. 96-100.
| 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: | Laura, Luigi |
| Thesis Co-Supervisor: | Bernaschi, Massimo |
| Academic Year: | 2018/2019 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 25 Mar 2020 09:48 |
| Last Modified: | 25 Mar 2020 09:48 |
| URI: | https://tesi.luiss.it/id/eprint/26085 |
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