Interpretation of human emotions through multimodal data: a dual-encoder transformer approach

Conti, Silvia (A.A. 2023/2024) Interpretation of human emotions through multimodal data: a dual-encoder transformer approach. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 54. [Master's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

Sentiment analysis. Levels of sentiment analysis. Techniques of sentiment analysis. Aspect based sentiment analysis. Multimodal aspect-based sentiment analysis. Multimodal aspect sentiment classification methods. Aspect sentiment pairs extraction methods. MABSA datasets. Dual-encoder transformers with cross modal alignment. Dual-encoder transformer architecture. Techniques for cross modal alignment.

References

Bibliografia: pp. 51-53.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair: Machine learning
Thesis Supervisor: Italiano, Giuseppe Francesco
Thesis Co-Supervisor: Simeone, Antonio
Academic Year: 2023/2024
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 09 Jun 2025 09:46
Last Modified: 09 Jun 2025 09:46
URI: https://tesi.luiss.it/id/eprint/42343

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