The below Natural Language workflow can be used to generate Topic Models from a monolingual corpus, along with their associated Word Clouds.

Latent Semantic Indexing, Latent Dirichlet Allocation and Hierarchical Dirichlet Process are the three techniques available for Topic Modelling in the Orange 3 toolkit.

From my experience, the most useful and relevant Topics were produced by the Latent Semantic Indexing (LSI) because of its ability to correlate semantically related terms that are latent in a collection of text. LSI employs a mathematical technique called singular value decomposition (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text.

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