Sentiment analysis and topic modeling in healthcare crises: the case of the Philips recall on Reddit

Formoso, Flavia (A.A. 2024/2025) Sentiment analysis and topic modeling in healthcare crises: the case of the Philips recall on Reddit. Tesi di Laurea in Statistics for marketing, Luiss Guido Carli, relatore Francesco Salate Santone, pp. 116. [Master's Degree Thesis]

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Abstract/Index

Theoretical framework. Brand reputation. When trust erodes: crisis communication. What happens during a crisis: theoretical stages. Adapting to a changing environment: social media crisis management. Crisis management in the healthcare industry. Brand switching. Philips S&RC recall as emblematic case of crisis communication. Philips sleep & respiratory care recall. Origins and evolution of Philips Respironics. The sleep & respiratory care business: from global leader to the scandal. Pre-crisis: early warnings and crisis onset in april 2021. The crisis: from 26 april 2021 to december 2022. Post-crisis: from january 2023 to december 2024. Theoretical methodology. Data source: choice of the platform. Sentiment analysis: theoretical background. Topic modeling: theoretical framework. Integration of sentiment and topics. Empirical methodology. Data collection. Data cleaning & preprocessing. Sentiment analysis. Sentiment analysis on competitor mentions: scope and context. Topic modeling (LDA). Topic modeling (hierarchical clustering). Integration of sentiment and topics. Results. Descriptive statistics of the final dataset. Sentiment analysis. Sentiment distribution across recall phases. Sentiment distribution month over month. Competitor mentions analysis: ResMed. Topic modeling (LDA). Topic modeling (hierarchical clustering). Thematic subdivision and labeling. Macro-themes across recall phases. Sentiment analysis by macro-theme.

References

Bibliografia: pp. 100-109.

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: Statistics for marketing
Thesis Supervisor: Salate Santone, Francesco
Thesis Co-Supervisor: Pelaez Martinez, Andrea
Academic Year: 2024/2025
Session: Extraordinary
Deposited by: Alessandro Perfetti
Date Deposited: 02 Jul 2026 12:48
Last Modified: 02 Jul 2026 12:48
URI: https://tesi.luiss.it/id/eprint/46315

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