APA (7th ed.) Citation

Scarpino, I., Zucco, C., Vallelunga, R., Luzza, F., & Cannataro, M. (2022). Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration. BioTech, 11(3), 41. https://doi.org/10.3390/biotech11030041

Chicago Style (17th ed.) Citation

Scarpino, Ileana, Chiara Zucco, Rosarina Vallelunga, Francesco Luzza, and Mario Cannataro. "Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration." BioTech 11, no. 3 (2022): 41. https://doi.org/10.3390/biotech11030041.

MLA (9th ed.) Citation

Scarpino, Ileana, et al. "Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration." BioTech, vol. 11, no. 3, 2022, p. 41, https://doi.org/10.3390/biotech11030041.