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In this work we focus on the most popular approach, Latent Dirichlet Model (LDA), to derive topics, but note that many extended algorithms could serve as drop-in replacements in our proposed approach.
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After burn-in, we collected 50 Gibbs samples and derived the topic distributions by averaging over the samples (see Additional file 3: Section 5).
Main Outcome Measure: Phenomenologic analysis of interviews based on codewords derived from interview topics and themes.
Furthermore, it combines several concepts of intelligent systems, including Machine Learning and Data Mining, with topics derived from expert systems, as user and data-driven knowledge, with meta-knowledge.
In [25], we showed that topics derived via an unsupervised latent Dirichlet allocation (LDA) model outperformed HMMs over highly exaggerated emotions.
The breakdown of funding across the topics derived from NCuts and the NIH institutes is illustrated in Figure 12C.
Each of the 40 topics derived from the topic model was unique, as evident by a pairwise similarity assessment of topics using the Tanimoto method where the largest Tanimoto coefficient was only 0.2 for topics 22 and 30.
For those relevant to tobacco research, the topics derived have a broad diversity as discussed in the following.
This instrument is based on patient safety literature in general and obstetric and midwifery care in particular, and on clinical and managerial topics derived from practice guidelines.
All focus group discussions followed a semi-structured discussion guide (Table 1), with topics derived from reviewing the existing literature in relation to PA in this population.
Table 1 gives an impression of several topics derived from the literature by listing the words most highly associated with each.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com