Machine Learning, Big Data Analytics and Natural Language Processing Techniques with Application to Social Media Analysis for Energy Communities-Reference-Cited by-同舟云学术

Machine Learning, Big Data Analytics and Natural Language Processing Techniques with Application to Social Media Analysis for Energy Communities

Published:2022 Issue: Volume: Page:425-434
ISSN:2367-3370
Container-title:Complex, Intelligent and Software Intensive Systems
language:
Short-container-title:

Author:

Di Martino Beniamino,Bombace Vincenzo,Colucci Cante Luigi,Esposito Antonio,Graziano Mariangela,Pezzullo Gennaro Junior,Tofani Alberto,D’Agostino Gregorio

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08812-4_41

Reference14 articles.

1. Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)

2. Di Martino, B., et al.: A big data pipeline and machine learning for a uniform semantic representation of structured data and documents from information systems of Italian ministry of justice. Int. J. Grid High Perform. Comput. (IJGHPC), 14 (2021)

3. Di Martino, B., Branco, D., Cante, L.C., Venticinque, S., Scholten, R., Bosma, B.: Semantic and knowledge based support to business model evaluation to stimulate green behaviour of electric vehicles’ drivers and energy prosumers. J. Am. Intell. Human. Comput. 1–23 (2021). https://doi.org/10.1007/s12652-021-03243-4

4. Di Martino, B., Cascone, D., Colucci Cante, L., Esposito, A.: Semantic representation and rule based patterns discovery and verification in eProcurement business processes for eGovernment. In: Barolli, L., Yim, K., Enokido, T. (eds.) CISIS 2021. LNNS, vol. 278, pp. 667–676. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-79725-6_67

5. Di Martino, B., Colucci Cante, L., Esposito, A., Lupi, P., Orlando, M.: Supporting the optimization of temporal key performance indicators of Italian courts of justice with OLAP techniques. In: Barolli, L., Yim, K., Enokido, T. (eds.) CISIS 2021. LNNS, vol. 278, pp. 646–656. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-79725-6_65

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