In the previous recipe, Using LDA to classify text documents, we have seen how to use the LDA algorithm for topic modeling. We have seen that, before constructing the algorithm, the dataset must be appropriately processed so as to prepare the data in a format compatible with the input provided by the LDA model. In this recipe, we will analyze in detail these procedures.
Preparing data for LDA
Getting ready
In this recipe, we will analyze the procedures necessary to transform the data contained in a specific dataset. This data will then be used as input for an algorithm based on the LDA method.
