Different ways of telling the pandemic: an examination of Covid-19 tweets from major Italian newspapers
Di Cristo, Raffaele (A.A. 2022/2023) Different ways of telling the pandemic: an examination of Covid-19 tweets from major Italian newspapers. Tesi di Laurea in Data analysis for social sciences, Luiss Guido Carli, relatore Marco Mingione, pp. 68. [Master's Degree Thesis]
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Abstract/Index
Literature review. Methods. Natural language processing. Text mining. Topic modelling. Data. Sample selection and description. Scraping of Tweets. Keywords filtering. Findings and discussion. Exploratory data analysis. Text mining results. A focus on political orientation. Topic modelling: latent dirichlet allocation.
References
Bibliografia: pp. 53-57.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree program in Global Management and Politics, English language (LM-77) |
| Chair: | Data analysis for social sciences |
| Thesis Supervisor: | Mingione, Marco |
| Thesis Co-Supervisor: | Dello Russo, Silvia |
| Academic Year: | 2022/2023 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 30 Jan 2024 10:44 |
| Last Modified: | 30 Jan 2024 10:44 |
| URI: | https://tesi.luiss.it/id/eprint/37807 |
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