In the last blog I have shown how to create word vectors using Python gensim‘s Word2Vec implementation and a large number of text as inputs, as well as the powerful features of similarities and analogies in the word vector space. In this blog, I will show how these word vectors can be used to furtherContinue reading “COVID-19 Literature Review using NLP – Part #3 K-mean clustering of word vectors”
Tag Archives: Word2Vec
COVID-19 Literature Review using NLP – Part #2 TF-IDF and Word Vectors
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”
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