Multi label classification of customer pain points: case study: Clariter
Tekaya, Tasnim (A.A. 2022/2023) Multi label classification of customer pain points: case study: Clariter. Tesi di Laurea in Digital marketing, Luiss Guido Carli, relatore Máximo Ibarra, pp. 47. [Master's Degree Thesis]
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Abstract/Index
Literature review. Customer pain points in digital services: definitions. Importance of addressing pain points. Technical issues in digital services. Customer support issues in digital services. UX issues in digital services. Commercial issues in digital services. Text classification. Detection and classification of customer pain points from user generated data. Methodology. Data collection. Data preprocessing. Multi-label text classification. Model selection.
References
Bibliografia: pp. 39-46.
Thesis Type: | Master's Degree Thesis |
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Institution: | Luiss Guido Carli |
Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
Chair: | Digital marketing |
Thesis Supervisor: | Ibarra, Máximo |
Thesis Co-Supervisor: | Martino, Alessio |
Academic Year: | 2022/2023 |
Session: | Extraordinary |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 03 Sep 2024 14:49 |
Last Modified: | 03 Sep 2024 14:49 |
URI: | https://tesi.luiss.it/id/eprint/39501 |
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