Predicting emerging themes in rapidly expanding covid-19 literature with unsupervised word embeddings and machine learning: evidence-based study

HIGHLIGHTS

• who: Unknown from the (UNIVERSITY) have published the paper: Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study, in the Journal: (JOURNAL) of July/13,/2021
• what: The authors propose for the first time the use of diachronic word embeddings, link prediction in dynamic networks of entities, and machine_learning to predict emerging theme literature and make these publicly available as a web application. This study proposes a framework for capturing and tracking imminent themes formed by medical entities in the temporal space based on networks . . .
  

   

  

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