Sentiment analysis models in comparison: a practical approach

Morabito, Francesco (A.A. 2021/2022) Sentiment analysis models in comparison: a practical approach. Tesi di Laurea in Financial statement analysis, Luiss Guido Carli, relatore Saverio Bozzolan, pp. 97. [Master's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

Text and opinion mining: definitions and main objectives. The concept of opinion, entity, and aspect. Sentiment lexicon: SentiWordNet. Emotion analysis in the study of sentiment. Emotion and sarcasm detection. Data acquisition for sentiment analysis techniques. Text pre-processing. The bag of words model. The engine of sentiment analysis: machine learning. Dictionary methods. Supervised learning methods. Supervised classification methods. Deep learning classification methods. Development environment: Google Colab.

References

Bibliografia: pp. 81-82.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree program in Corporate Finance, English language (LM-77)
Chair: Financial statement analysis
Thesis Supervisor: Bozzolan, Saverio
Thesis Co-Supervisor: Magnanelli, Barbara Sveva
Academic Year: 2021/2022
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 29 Nov 2022 08:20
Last Modified: 29 Nov 2022 08:20
URI: https://tesi.luiss.it/id/eprint/34120

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