2 posts tagged with "clustering"

In the last post, we talked about how we can cluster the sentence using Bert. This post is about how we can visualize the text cluster in 2-dimensions.

This post is about identifying context captured in text sentences and grouping/clustering similar sentences together. Understanding the context means that we need to understand every possible way a sentence could be written.

Here we will use BERT to identify the similarity between sentences and then we will use the Kmeans clustering approach to cluster the sentences with the same context together.