Short Text Topic Modeling

The most popular Topic Modeling algorithm is LDA, Latent Dirichlet Allocation. Let's first unravel this imposing name to have an intuition of what it does. Figure 1 below describes how the LDA steps articulate to find the topics within a corpus of documents. "A document is generated by sampling a mixture of these topics and then sampling words from that mixture" (Andrew Ng, David Blei and Michael Jordan from the LDA original paper). NB: In the Figure 1 above, we have set K 3 topics and N 8 words in our vocabulary for illustration ease.