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]

[img] PDF (Full text)
Restricted to Registered users only

Download (1MB) | Request a copy

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
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

Downloads

Downloads per month over past year

Repository Staff Only

View Item View Item