Exploring sentiment analysis and its applications: predicting stock trends by analysing emotions and opinions of financial news
Cardamone, Jona (A.A. 2021/2022) Exploring sentiment analysis and its applications: predicting stock trends by analysing emotions and opinions of financial news. 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: an overview. History of sentiment analysis. The four types of sentiment analysis. Sentiment analysis approaches. How does sentiment analysis work? Sentiment analysis limitations. Sentiment analysis: a very useful tool in many sectors. Sentiment analysis in marketing. Sentiment analysis in politics. Sentiment analysis in tourism. Sentiment analysis and other fields of application. Sentiment analysis in finance. Can sentiment analysis help predict stock trends using financial news?
References
Bibliografia: pp. 35-36.
| 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: | 2021/2022 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 28 Aug 2023 13:11 |
| Last Modified: | 28 Aug 2023 13:11 |
| URI: | https://tesi.luiss.it/id/eprint/36299 |
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