Sentence examples for generated topics from inspiring English sources

The output of the probabilistic clustering algorithms is the most applicable but given the prohibitive delays incurred with Dirichlet, the output of the LDA clustering algorithm is deemed the most appropriate with the relevant generated topics problems matched with those frequently encountered by VMware customers.

If a discussion topic was too short (e.g., only a sentence or a discussion question), this might make it difficult for discussion participants to initiate a discussion or for human experts to think of questions to be generated: Topic 1: The catastrophe at the Fukushima power plant in Japan has shocked the world.

The next step: hiring a top editor to mind the tone, generate topics for debate and drum up new writers.

Lastly, their method to generate topics also gives them a concise label built from the topic's keywords.

Gibbs sampling method is used for estimating LDA's parameters and LDA uses the estimated parameters to generating topics.

LDA (Latent Dirichlet Allocation) technique is used in this work for generating topics from each document cluster.

In Figure 2, K is the number of topics, M the number of documents, N m the number of words in the m th document, φ k the words distribution in topic k, θ m the topic distribution in document m, φ k and θ m also the parameters of multinomial distribution which are used to generating topics and words, α and β are empirical parameters and usually they are symmetric.

To collect and synthesise views and experiences we used qualitative methods (focus groups) and thematic analysis to generate topics and themes.

Online security is the biggest non-revenue generating topic on the web.

From a technical perspective, the project makes use of the RDF and XTM standards to automatically generate topic maps that can be used to browse the different fonds and collections.

We considered two fundamentally different models, LDA and RSM, and their supervised counterparts for the purpose of generating topic-based features.