Sentence examples for topical domains from inspiring English sources

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First, we used text management software (ATLAS.ti) to mark contiguous blocks of transcript text that pertained to the major topical domains of interest (how HIV status was disclosed, trigger event, reason for disclosure, short and long-term response to disclosure) within each social target group of the disclosure (spouse, family, friends, others).

Similar(59)

Furthermore, where pulsed lasers are used with higher fluence or high peak power density, larger densification and even damaging can occur, yielding a large refractive index contrast, a seducing application of which could be imagined in the topical domain of data storage [13].

This categorization mapped the topical domain for the dentists who posted to the IDF during the study period [ 28].

With reference to the example of remote sensing we propose that an understanding of topical landscapes across domains could contribute to citizen science projects delivering high quality data and results by learning from communities with similar tasks and techniques, finding participants with matching skills and utilising tested frameworks from other domains.

Like many startups in today's Silicon Valley, Goldstein was struggling to find an apropo domain that was topical and more importantly, available.

In addition, we develop a new aspect-extraction method that combines the results of domain ontology and topic modeling to extract topical features from product descriptions.

The oral and poster presentations were given in 12 separate topical sessions, encompassing all the main analytical domains.

Common domain-specific topics are under-represented and indicate a topical separation of the two document sets on "forest monitoring" and "citizen science" and thus the represented domains.

A fundamental and topical question in EB research is whether EBs are domain general or domain specific [ 6, 23– 25].

Later, we use these domains to organize and present the topical findings.

More specifically, we develop the Domain-Constraint Latent Dirichlet Allocation (DC-LDA) topic model for effective extraction of topical features from texts.

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