Detecting Latent Topics and Trends in Global Publications on Brucellosis Disease Using Text Mining

• Published in: Interdisciplinary perspectives on infectious diseases Vol. 2022; pp. 7274734 - 10
• Main Authors: Dastani, Meisam, Mardaneh, Jalal, Pouresmaeil, Omid
• Format: Journal Article
• Language: English
• Published: Egypt Hindawi 2022; Hindawi Limited; Wiley
• Subjects: Algorithms; Brucellosis; Citation indexes; Coronaviruses; Data mining; Dictionaries; Fever; Food contamination & poisoning; Knowledge; Methods; Scientometrics; Trends

Purpose. Brucellosis is widespread globally and one of the most important zoonotic diseases. Therefore, to fully comprehend the disease and discover ways of prevention and treatment, researchers have conducted some research in this field. Hence, this study will focus on the topic trend of scientific...