Practical application– clustering similar tweets together

Unsupervised machine learning algorithms can also be applied in real time to cluster similar tweets together. They will do the following:

  • STEP 1- Topic Modeling: Discover various topics from a given set of tweets
  • STEP 2- Clustering: Associate each of the tweets with one of the discovered topics

This use of unsupervised learning is shown in the following diagram:

Note that this example requires real-time processing of input data.

Let's look into these steps one by one.

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