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The discovered topics then help to predict missing tags of an unseen image as well as the ones partially labeled in the database.
4 Topic correlation Calculating correlations between discovered topics.
The number of topics, K, is a user-specified parameter that provides control over the level of details of the discovered topics.
The results show that out of the 54 discovered topics, only four of them (marked in italic format) are not meaningful topics and the remaining 50 are legitimate topics.
While mining topics in a document collection, in order to capture the relationships between words and further improve the effectiveness of discovered topics, this paper proposed a feedback recurrent neural network-based topic model.
Although the stated purpose of this study is to generate topic profiles for Twitter users, the discovered topics such as SPORT IN ENGLAND and CHICAGO CUBS can be used for marketing.
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An example of the discovered topic community using CPM is show in Fig. 11.
Specifically, W reflects the frequency of different words in each discovered topic, while H reflects the topic mix present in each document.
Next, we used computational techniques in natural language processing to cluster the abstracts into neuroscience topics and studied their dynamics and concordance of these discovered topic clusters with the thematic organization provided by the SFN.
This 'Joint' ranking method coupled with an unsupervised topic clustering model is shown to have the potential to discover topics of interest or concern to a local community.
At the same time, checking what are the topics that produce the most controversial discussions among users can be a good tool to discover topics that can be divisive, what can be useful, e.g., for policy makers.
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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