Text Mining Approach for Trend Tracking in Scientific Research: A Case Study on Forest Fire

• Published in: Fire (Basel, Switzerland) Vol. 6; no. 1; p. 33
• Main Author: Eroglu, Yunus
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2023
• Subjects: Airlines; Biofuels; case studies; Coronaviruses; COVID-19 vaccines; Data mining; Documents; Due diligence; Emissions; Fire damage; forest fire; Forest fires; Forestry research; forests; Singular value decomposition; soil; text mining; topic extraction; trend analysis; Trends; Unstructured data; Canada; Australia; United States > US; Russia
• ISSN: 2571-6255; 2571-6255
• DOI: 10.3390/fire6010033

Scientific studies are increasing day by day with the development of technology. Today, more than 171 billion academic records are made available to researchers via the Web of Science database, which is frequently followed by the scientific community, and is where records of articles, proceedings, a...