Using sentiment analysis for politics: the case of the Italian political elections
La Gioia, Elio Simone (A.A. 2022/2023) Using sentiment analysis for politics: the case of the Italian political elections. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 38. [Bachelor's Degree Thesis]
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Abstract/Index
Sentiment analysis introduction. What is sentiment analysis? Sentiment identification. Dictionary-based approach. Corpus-based approach. Sentiment orientation classification. Counting opinion words approach. Supervised learning approaches. In-depth study: enemies of sentiment analysis. Synonymy and polysemy. Sarcasm. Compound sentences. Opinion spammers. Sentiment analysis in action. Some examples of sentiment analysis. The case of Italian parliamentary election of 2022. Sentiment analysis on the tweets of political leaders. Political implications and negative sentiment. Citizen use of social media in politics. Politician use of social networks in Italy. The implications of negative language in politics. The impact of negative messaging on public debate. The crucial role of media. What AI could do for politics and possible future scenarios.
References
Bibliografia: p. 37.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Artificial intelligence and machine learning |
| Thesis Supervisor: | Italiano, Giuseppe Francesco |
| Academic Year: | 2022/2023 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 26 Sep 2023 15:55 |
| Last Modified: | 26 Sep 2023 15:55 |
| URI: | https://tesi.luiss.it/id/eprint/36536 |
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