COVID-19 literature clustering on CORD-19 dataset | K-means | Wordcloud |Python | NLProc

#Covid-19 #CORD-19 #NLProc #Clustering
In this video I will explain a method for clustering the CORD-19 dataset. CORD-19 is a free resource of tens of thousands of scholarly articles about COVID-19, SARS-CoV-2, and related coronaviruses for use by the global research community. I have used K-means clustering on the abstracts of articles in the CORD-19 dataset.I have then generated wordcloud on the titles of articles in each cluster to visualize the topics present in the cluster. The entire python code along with the clustered data is shared on github

If you are new here and like such content please subscribe to the channel here:

If you like to support me financially, It is totally optional and voluntary.

Chapters:
00:00 COVID-19 literature clustering on CORD-19 dataset | K-means clustering | Wordcloud |Python
00:39 CORD-19 Dataset
01:29 CORD-19 Dataset Literature Analysis
07:05 CORD-19 Dataset Clusters

Github

Links:

K-means:

PCA: