Automated journalism: building an intelligent news production workflow for a competitive edge
Caccavale, Fabiana (A.A. 2022/2023) Automated journalism: building an intelligent news production workflow for a competitive edge. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 121. [Master's Degree Thesis]
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Abstract/Index
AI in the news industry. News gathering. News production. News distribution. The global landscape of automated journalism. Structural and algorithmic choices. Structural considerations. Algorithmic approaches. BERT language model. Introduction to BERT. BERT architecture. Pre-training and fine-tuning BERT. Applications of BERT in NLP. News production workflow. Pipeline overview. News pre-processing. News aggregation. IPTC classification. Named entity recognition. News summarization. Translation. Image generation. Ethical and legal consideration. Balancing artificial and human intelligence. Alignment with EU regulations.
References
Bibliografia: 90-100.
Thesis Type: | Master's Degree Thesis |
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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: | Spagnoletti, Paolo |
Academic Year: | 2022/2023 |
Session: | Summer |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 09 Jan 2024 13:38 |
Last Modified: | 09 Jan 2024 13:38 |
URI: | https://tesi.luiss.it/id/eprint/37427 |
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