Sentiment analysis: algorithm applications in tourism

Spadea, Francesca (A.A. 2018/2019) Sentiment analysis: algorithm applications in tourism. Tesi di Laurea in Customer intelligence & big data, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 104. [Master's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

E-WOM in big data era. Electronic-word of mouth. From data to meaning. Machine learning algorithms. Analysis: the tourism industry. The role of hotel manager in managing reviews.

References

Bibliografia: pp. 82-88.

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: Italiano, Giuseppe Francesco
Thesis Co-Supervisor: Laura, Luigi
Academic Year: 2018/2019
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 23 Mar 2020 14:30
Last Modified: 23 Mar 2020 14:30
URI: https://tesi.luiss.it/id/eprint/26051

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