In the last blog I have showed how to use topic modelling to seperate a large number of articles into different topics. In this blog, I am going to talk about how to take one step further, and use word vectors and clustering to track down the articles that you really need. Recall from theContinue reading “COVID-19 Literature Review using NLP – Part #2 TF-IDF and Word Vectors”