Data Scientist has commonly been referred to as the sexist job in the 21st Century over the last few years. Indeed, as a job which utilises state-of-the-art algorithms straight out of research papers, and often associated with futuristic inventions such as self-driving cars and human-like chatbots, what is not to like about being a dataContinue reading “Finding the Most Desirable Data Science Skills – an Analysis of Data Scientist Job Postings”
Tag Archives: Natural Language Processing
COVID-19 Literature Review using NLP – Part #3 K-mean clustering of word vectors
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”
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”
COVID-19 Literature Review using Natural Language Process – Part #1 Topic Modelling
Ask any PhD students and they will tell you that literature review is a daunting task. Sifting through mountains of papers to find the specific information that you need is no easy feat, especially there are often conflicting information, and worse, abstracts that looks promising but nothing of interest actually offer in the full-text. ThereContinue reading “COVID-19 Literature Review using Natural Language Process – Part #1 Topic Modelling”
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