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.

Topic modeling

Topic Modeling is the process of discovering the concepts in a set of documents that can be used to differentiate them.  In the context of tweets, it is about finding...