Scientific Documents Similarity Search With Deep Learning Using Transformers (SciBERT)

Let have a look at some random articles. Here we limit the printing to the first hundred words, because some of them are very long. This step aims to vectorize the articles' abstract text so that we can perform the similarity analysis. Since we are dealing with the scientific documents, we will use SciBERT, which is a pre-trained language model for Scientific text data. You can find more information about it on Semantic Scholar.