Coronavirus has been a disease that has impact the world like no other virus has done in modern times, creating a worlwide emergencysituation. This work aims to help the classification of information by obtaining the topic papers are talking about as well as classify this topics in principal domains like vacciones and therapeutics this done possible using tools like Latent Dirichlet Allocation and dictionaries with terms that can help to improve information detection.
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Applies Latent Dirichlet Allocation for topic modelling on Covid Open Research Dataset
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