Abstract
The present work aims to improve the performance of the systematic review research process through the use of Natural Language Programming (NLP). The performance increase is due to the construction of a Jupyter notebook, implemented in the Python programming language. This research was applied to the case study on the topic: Metaverse. 222 articles were found among four research platforms, IEEE, ACM, arXiv, and ERIC, where they were individually filtered, by PLN, for a selection of 18 materials, which were applied to quality criteria to create a golden set with 10 articles from importance for research on the pillars. This final list will serve as a basis to guide future research on the subject as well as to help researchers who want to use the methodology presented here.
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de Souza, V.B., de Andrade, R.C., da Silva, T.C. (2023). NLP Applied to Systematic Review: Case Study for the Creation of a Golden Set for the Metaverse. In: Arai, K. (eds) Advances in Information and Communication. FICC 2023. Lecture Notes in Networks and Systems, vol 651. Springer, Cham. https://doi.org/10.1007/978-3-031-28076-4_32
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